听力与言语-语言病理学

行为科学

医学伦理学

你正在浏览JOURNAL OF DIGITAL IMAGING期刊下所有文献
  • CT Image-Based Texture Analysis to Predict Microvascular Invasion in Primary Hepatocellular Carcinoma.

    abstract::The objective of this study was to determine the clinical value of computed tomography (CT) image-based texture analysis in predicting microvascular invasion of primary hepatocellular carcinoma (HCC). CT images of patients with HCC from May 2017 to May 2019 confirmed by surgery and histopathology were retrospectively ...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-020-00386-2

    authors: Li Y,Xu X,Weng S,Yan C,Chen J,Ye R

    更新日期:2020-12-01 00:00:00

  • The Effect of Registration on Voxel-Wise Tofts Model Parameters and Uncertainties from DCE-MRI of Early-Stage Breast Cancer Patients Using 3DSlicer.

    abstract::We quantitatively investigate the influence of image registration, using open-source software (3DSlicer), on kinetic analysis (Tofts model) of dynamic contrast enhanced MRI of early-stage breast cancer patients. We also show that registration computation time can be reduced by reducing the percent sampling (PS) of vox...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-020-00374-6

    authors: Mouawad M,Biernaski H,Brackstone M,Lock M,Kornecki A,Shmuilovich O,Ben-Nachum I,Prato FS,Thompson RT,Gaede S,Gelman N

    更新日期:2020-10-01 00:00:00

  • A Narrative Review on Clinical Applications of fNIRS.

    abstract::Functional near-infrared spectroscopy (fNIRS) is a relatively new imaging modality in the functional neuroimaging research arena. The fNIRS modality non-invasively investigates the change of blood oxygenation level in the human brain utilizing the transillumination technique. In the last two decades, the interest in t...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-020-00387-1

    authors: Rahman MA,Siddik AB,Ghosh TK,Khanam F,Ahmad M

    更新日期:2020-10-01 00:00:00

  • Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review.

    abstract::Breast cancer is the most common type of malignancy diagnosed in women. Through early detection and diagnosis, there is a great chance of recovery and thereby reduce the mortality rate. Many preliminary tests like non-invasive radiological diagnosis using ultrasound, mammography, and MRI are widely used for the diagno...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-019-00295-z

    authors: Das A,Nair MS,Peter SD

    更新日期:2020-10-01 00:00:00

  • Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules.

    abstract::Lung cancer has the highest mortality rate of all cancers, and early detection can improve survival rates. In the recent years, low-dose CT has been widely used to detect lung cancer. However, the diagnosis is limited by the subjective experience of doctors. Therefore, the main purpose of this study is to use convolut...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-020-00333-1

    authors: Zhao J,Zhang C,Li D,Niu J

    更新日期:2020-08-01 00:00:00

  • MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.

    abstract::The Fuhrman nuclear grade is a recognized prognostic factor for patients with clear cell renal cell carcinoma (CCRCC) and its pre-treatment evaluation significantly affects decision-making in terms of management. In this study, we aimed to assess the feasibility of a combined approach of radiomics and machine learning...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-020-00336-y

    authors: Stanzione A,Ricciardi C,Cuocolo R,Romeo V,Petrone J,Sarnataro M,Mainenti PP,Improta G,De Rosa F,Insabato L,Brunetti A,Maurea S

    更新日期:2020-08-01 00:00:00

  • Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration.

    abstract::New consumer technologies and interoperability standards have dated the first standardized curriculum for imaging informatics fellowships suggested by the Society for Computer Applications in Radiology (SCAR) in 2004 (Journal of digital imaging 17(4):244-248, 2004). Last year, analysis from this institution characteri...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00292-2

    authors: Makeeva V,Vey B,Cook TS,Nagy P,Filice RW,Wang KC,Balthazar P,Harri P,Safdar NM

    更新日期:2020-04-01 00:00:00

  • Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm.

    abstract::Morphometric analysis of nuclei is crucial in cytological examinations. Unfortunately, nuclei segmentation presents many challenges because they usually create complex clusters in cytological samples. To deal with this problem, we are proposing an approach, which combines convolutional neural network and watershed tra...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00200-8

    authors: Kowal M,Żejmo M,Skobel M,Korbicz J,Monczak R

    更新日期:2020-02-01 00:00:00

  • The Enterprise Imaging Value Proposition.

    abstract::As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to provide quality care bounded by the constraints of a reduced budget. This manuscript synthesizes the experience from a number of institutions to provide the healthcare leadership with an understanding of the value of a...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-019-00293-1

    authors: Petersilge CA

    更新日期:2020-02-01 00:00:00

  • Estimates of Patient Radiation Doses in Digital Radiography Using DICOM Information at a Large Teaching Hospital in Oman.

    abstract::In this study, we sought to estimate the patient radiation doses in the digital radiography X-ray examinations conducted in a large hospital. The patient exposure factors and kerma-area product (PKA) were retrospectively recorded via the Digital Imaging and Communications in Medicine (DICOM) header for 547 patients. T...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00199-y

    authors: Suliman II

    更新日期:2020-02-01 00:00:00

  • Free DICOM-Viewers for Veterinary Medicine : Survey and Comparison of Functionality and User-Friendliness of Medical Imaging PACS-DICOM-Viewer Freeware for Specific Use in Veterinary Medicine Practices.

    abstract::There is increasing prevalence of digital diagnostic imaging in veterinary medicine with a progressive need to use medical imaging software. As Digital Imaging and Communications in Medicine (DICOM)-viewers for veterinary use do not require medical device approval in many countries, freeware viewers might be a practic...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00194-3

    authors: Brühschwein A,Klever J,Hoffmann AS,Huber D,Kaufmann E,Reese S,Meyer-Lindenberg A

    更新日期:2020-02-01 00:00:00

  • Classification of CT Scan Images of Lungs Using Deep Convolutional Neural Network with External Shape-Based Features.

    abstract::In this paper, a simplified yet efficient architecture of a deep convolutional neural network is presented for lung image classification. The images used for classification are computed tomography (CT) scan images obtained from two scientifically used databases available publicly. Six external shape-based features, vi...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00245-9

    authors: Srivastava V,Purwar RK

    更新日期:2020-02-01 00:00:00

  • Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice.

    abstract::Scheduling of CT and MR exams requires reasonable estimates for expected scan duration. However, scan-time variability and efficiency gains from combining multiple exams are not quantitatively well characterized. In this work, we developed an informatics approach to quantify typical duration, duration variability, and...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00252-w

    authors: Zhang R,Narra VR,Kansagra AP

    更新日期:2020-02-01 00:00:00

  • Towards an Information Infrastructure for Medical Image Sharing.

    abstract::Information infrastructures involve the notion of a shared, open infrastructure, constituting a space where people, organizations, and technical components associate to develop an activity. The current infrastructure for medical image sharing, based on PACS/DICOM technologies, does not constitute an information infras...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00243-x

    authors: Motta GHMB,Araújo DAB,Lucena-Neto JR,Azevedo-Marques PM,Cordeiro SS,Araújo-Neto SA

    更新日期:2020-02-01 00:00:00

  • Point of Care Image Capture with a Custom Smartphone Application: Experience with an Encounter-Based Workflow.

    abstract::Medical documentation is one of the primary methods by which physicians share clinical information and impressions over time with one another. As the adage says, "a picture is worth a thousand words," and physicians have started leveraging consumer mobile technology to share images with one another. However, image sha...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00231-1

    authors: Mechanic OJ,Kurtzman ND,Chiu DT,Nathanson LA,Berkowitz SJ

    更新日期:2020-02-01 00:00:00

  • Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.

    abstract::Statistics show that the risk of autism spectrum disorder (ASD) is increasing in the world. Early diagnosis is most important factor in treatment of ASD. Thus far, the childhood diagnosis of ASD has been done based on clinical interviews and behavioral observations. There is a significant need to reduce the use of tra...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00196-1

    authors: Aghdam MA,Sharifi A,Pedram MM

    更新日期:2019-12-01 00:00:00

  • Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study.

    abstract::Positron emission tomography (PET) imaging is an effective tool used in determining disease stage and lesion malignancy; however, radiation exposure to patients and technicians during PET scans continues to draw concern. One way to minimize radiation exposure is to reduce the dose of radioactive tracer administered in...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0150-3

    authors: Kaplan S,Zhu YM

    更新日期:2019-10-01 00:00:00

  • Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.

    abstract::Cerebral microbleeds, which are small focal hemorrhages in the brain that are prevalent in many diseases, are gaining increasing attention due to their potential as surrogate markers of disease burden, clinical outcomes, and delayed effects of therapy. Manual detection is laborious and automatic detection and labeling...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0146-z

    authors: Chen Y,Villanueva-Meyer JE,Morrison MA,Lupo JM

    更新日期:2019-10-01 00:00:00

  • Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans.

    abstract::Airway diseases are frequently related to morphological changes that may influence lung physiology. Accurate airway region segmentation may be useful for quantitative evaluation of disease prognosis and therapy efficacy. The information can also be applied to understand the fundamental mechanisms of various lung disea...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0158-8

    authors: Lee M,Lee JG,Kim N,Seo JB,Lee SM

    更新日期:2019-10-01 00:00:00

  • 10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper.

    abstract::An enterprise imaging (EI) strategy is an organized plan to optimize the electronic health record (EHR) so that healthcare providers have intuitive and immediate access to all patient clinical images and their associated documentation, regardless of source. We describe ten steps recommended to achieve the goal of impl...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-019-00236-w

    authors: Primo H,Bishop M,Lannum L,Cram D,Nader A,Boodoo R

    更新日期:2019-08-01 00:00:00

  • Integrating an Ontology of Radiology Differential Diagnosis with ICD-10-CM, RadLex, and SNOMED CT.

    abstract::An ontology offers a human-readable and machine-computable representation of the concepts in a domain and the relationships among them. Mappings between ontologies enable the reuse and interoperability of biomedical knowledge. We sought to map concepts of the Radiology Gamuts Ontology (RGO), an ontology that links dis...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00186-3

    authors: Filice RW,Kahn CE Jr

    更新日期:2019-04-01 00:00:00

  • 3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses.

    abstract::The three-dimensional (3D) visualization of dural venous sinuses (DVS) networks is desired by surgical trainers to create a clear mental picture of the neuroanatomical orientation of the complex cerebral anatomy. Our purpose is to document those identified during routine 3D venography created through 3D models using t...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0125-4

    authors: Karakas AB,Govsa F,Ozer MA,Eraslan C

    更新日期:2019-04-01 00:00:00

  • Volumetric Assessment of Pediatric Vascular Malformations Using a Rapid, Hand-Held Three-Dimensional Imaging System.

    abstract::The effect of percutaneous, surgical, and medical therapies for vascular malformations (VMs) is often difficult to quantify volumetrically using cross-sectional imaging. Volumetric measurement is often estimated with serial, expensive MRI examinations which may require sedation or anesthesia. We aim to explore whether...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00183-6

    authors: Speir EJ,Matthew Hawkins C,Weiler MJ,Briones M,Swerdlin R,Park S,Brandon Dixon J

    更新日期:2019-04-01 00:00:00

  • Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning.

    abstract::In today's radiology workflow, free-text reporting is established as the most common medium to capture, store, and communicate clinical information. Radiologists routinely refer to prior radiology reports of a patient to recall critical information for new diagnosis, which is quite tedious, time consuming, and prone t...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0116-5

    authors: Tahmasebi AM,Zhu H,Mankovich G,Prinsen P,Klassen P,Pilato S,van Ommering R,Patel P,Gunn ML,Chang P

    更新日期:2019-02-01 00:00:00

  • Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models.

    abstract::Recent technological innovations have created new opportunities for the increased adoption of virtual reality (VR) and augmented reality (AR) applications in medicine. While medical applications of VR have historically seen greater adoption from patient-as-user applications, the new era of VR/AR technology has created...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-018-0122-7

    authors: Sutherland J,Belec J,Sheikh A,Chepelev L,Althobaity W,Chow BJW,Mitsouras D,Christensen A,Rybicki FJ,La Russa DJ

    更新日期:2019-02-01 00:00:00

  • A Decision-Support Tool for Renal Mass Classification.

    abstract::We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiomics-based imaging features. Features characterizing the texture, signal intensity, and other relevant metrics of the renal mass were extracted from multiphase contrast-e...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0100-0

    authors: Kunapuli G,Varghese BA,Ganapathy P,Desai B,Cen S,Aron M,Gill I,Duddalwar V

    更新日期:2018-12-01 00:00:00

  • App Review Series: CTisus iPearls.

    abstract::Thousands of "pearls" or facts related to radiology or imaging are accessible through a categorically organized user interface. Pearls are divided up into anatomical regions, as well as non-organ-specific categories. Information is easily accessible with an ad-free interface matched with full offline capability. User ...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-018-0103-x

    authors: Buro J

    更新日期:2018-12-01 00:00:00

  • Of Mice and Roentgen: Radiologist Satisfaction with a Non-conventional 13-Button Mouse-One Institution's Experience.

    abstract::Increasing radiologic exam volume and complexity necessitates leveraging advanced hardware solutions to optimize workflow efficiency. We evaluated radiologist satisfaction of a programmable 13-button non-conventional mouse compared to a conventional three-button mouse in daily interpretation workflow following a brief...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0094-7

    authors: Denton K,Haider I,Hill J,Hunt SL,Ash R

    更新日期:2018-12-01 00:00:00

  • Touch Surgery: a Twenty-First Century Platform for Surgical Training.

    abstract::This manuscript reviews Touch Surgery, a novel online platform geared towards innovating professional training for surgical procedures. In other industries, such as aviation, simulation has already been shown to reduce costs and improve outcomes in crisis (JETS 3(4):348-352, 2010). Studies involving simulation-based l...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-018-0102-y

    authors: Mandler AG

    更新日期:2018-10-01 00:00:00

  • Quantifying Analysis of Uncertainty in Medical Reporting: Creation of User and Context-Specific Uncertainty Profiles.

    abstract::While uncertainty is ubiquitous in medical practice, minimal work to date has been performed to analyze the cause and effect relationship between uncertainty and patient outcomes. In medical imaging practice, uncertainty in the radiology report has been well documented to be a source of clinician dissatisfaction. Befo...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-018-0057-z

    authors: Reiner BI

    更新日期:2018-08-01 00:00:00

  • Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

    abstract::Mammographic breast density has been established as an independent risk marker for developing breast cancer. Breast density assessment is a routine clinical need in breast cancer screening and current standard is using the Breast Imaging and Reporting Data System (BI-RADS) criteria including four qualitative categorie...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-0022-2

    authors: Mohamed AA,Luo Y,Peng H,Jankowitz RC,Wu S

    更新日期:2018-08-01 00:00:00

  • MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

    abstract::Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess skeletal maturity. The most commonly utilized method for assessment of BAA is the Greulich and Pyle method (Pediatr Radiol 46.9:1269-1274, 2016; Arch Dis Child 81.2:172-173, 1999) atlas. The evaluation of BAA can be a t...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-018-0053-3

    authors: Mutasa S,Chang PD,Ruzal-Shapiro C,Ayyala R

    更新日期:2018-08-01 00:00:00

  • Towards Portable Large-Scale Image Processing with High-Performance Computing.

    abstract::High-throughput, large-scale medical image computing demands tight integration of high-performance computing (HPC) infrastructure for data storage, job distribution, and image processing. The Vanderbilt University Institute for Imaging Science (VUIIS) Center for Computational Imaging (CCI) has constructed a large-scal...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-018-0080-0

    authors: Huo Y,Blaber J,Damon SM,Boyd BD,Bao S,Parvathaneni P,Noguera CB,Chaganti S,Nath V,Greer JM,Lyu I,French WR,Newton AT,Rogers BP,Landman BA

    更新日期:2018-06-01 00:00:00

  • An Efficient Pipeline for Abdomen Segmentation in CT Images.

    abstract::Computed tomography (CT) scans usually include some disadvantages due to the nature of the imaging procedure, and these handicaps prevent accurate abdomen segmentation. Discontinuous abdomen edges, bed section of CT, patient information, closeness between the edges of the abdomen and CT, poor contrast, and a narrow hi...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-0032-0

    authors: Koyuncu H,Ceylan R,Sivri M,Erdogan H

    更新日期:2018-04-01 00:00:00

  • A Novel Texture-Quantization-Based Reversible Multiple Watermarking Scheme Applied to Health Information System.

    abstract::The recent innovations in information and communication technologies have appreciably changed the panorama of health information system (HIS). These advances provide new means to process, handle, and share medical images and also augment the medical image security issues in terms of confidentiality, reliability, and i...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-0024-0

    authors: Turuk M,Dhande A

    更新日期:2018-04-01 00:00:00

  • Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?

    abstract::We investigated the association between the textural features obtained from 18F-FDG images, metabolic parameters (SUVmax, SUVmean, MTV, TLG), and tumor histopathological characteristics (stage and Ki-67 proliferation index) in non-small cell lung cancer (NSCLC). The FDG-PET images of 67 patients with NSCLC were evalua...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-9992-3

    authors: Karacavus S,Yılmaz B,Tasdemir A,Kayaaltı Ö,Kaya E,İçer S,Ayyıldız O

    更新日期:2018-04-01 00:00:00

  • Minimizing Barriers in Learning for On-Call Radiology Residents-End-to-End Web-Based Resident Feedback System.

    abstract::Feedback is an essential part of medical training, where trainees are provided with information regarding their performance and further directions for improvement. In diagnostic radiology, feedback entails a detailed review of the differences between the residents' preliminary interpretation and the attendings' final ...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-0015-1

    authors: Choi HH,Clark J,Jay AK,Filice RW

    更新日期:2018-02-01 00:00:00

  • Can an Offsite Expert Remotely Evaluate the Visual Estimation of Ejection Fraction via a Social Network Video Call?

    abstract::We aimed to investigate whether an offsite expert could effectively evaluate visually estimated ejection fraction (EF) while watching and guiding the echocardiographic procedure of an onsite novice practitioner using a social network video call. Sixty patients presenting to the intensive care unit and requiring echoca...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-9974-5

    authors: Kim C,Hur J,Kang BS,Choi HJ,Shin JH,Kim TH,Chung JH

    更新日期:2017-12-01 00:00:00

  • Who You Gonna Call? Automatically Connecting Radiologists to the Right Clinician.

    abstract::Contacting clinicians to convey critical results is a critical part of radiology workflow, but many obstacles prevent easy and timely communication. Integration of radiology applications and workflow with an EHR-based patient coverage database demonstrated subjective and objective improvement in radiologist workflow a...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-9962-9

    authors: Filice R

    更新日期:2017-10-01 00:00:00

  • Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities.

    abstract::The goal of this study is to evaluate the efficacy of deep convolutional neural networks (DCNNs) in differentiating subtle, intermediate, and more obvious image differences in radiography. Three different datasets were created, which included presence/absence of the endotracheal (ET) tube (n = 300), low/normal positio...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-9980-7

    authors: Lakhani P

    更新日期:2017-08-01 00:00:00

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