当前位置： SCI文献检索 > IEEE Journal of Biomedical and Health Informatics期刊下所有文献 > Segmenting Vitiligo on Clinical Face Images using CNN Trained on Synthetic and Internet Images.

Segmenting Vitiligo on Clinical Face Images using CNN Trained on Synthetic and Internet Images.

Abstract：

:Accurately diagnosing and describing the severity of vitiligo is crucial for prognostication, treatment selection and comparison. Currently, disease severity scores require dermatologists to estimate percentage area of involvement, which is subjected to inter and intra-assessor variability. Previous studies focus on pure skin but vitiligo on the face, which has a more serious impact on patients' quality of life, was completely neglected. Convolutional neural networks (CNNs) have good performance on many segmentation tasks. However, due to data privacy, it is hard to have a large clinical vitiligo face image dataset to train a CNN. To address this challenge, images from two different sources, the Internet and the proposed vitiligo face synthesis algorithm, are employed in training. 843 vitiligo images taken from different viewpoints were collected from the Internet. These images are hugely different from the target clinical images collected according to a newly established international standard. To have more vitiligo face images similar to the target clinical images to enhance segmentation performance, an image synthesis algorithm is proposed. Both synthetic and Internet images are used to train a CNN which is modified from the fully convolutional network (FCN) to segment face vitiligo lesions. The results show that 1) the synthetic images effectively improve segmentation performance; 2) the proposed algorithm achieves 1.06% error for the face vitiligo area estimation and 3) it is more accurate than two dermatologists and all the previous automated vitiligo segmentation methods, which were designed for segmentation vitiligo on pure skin.

journal_name

IEEE J Biomed Health Inform

journal_title

IEEE journal of biomedical and health informatics

authors

Li Y,Kong A,Thng S

doi

10.1109/JBHI.2021.3055213

subject

Has Abstract

pub_date

2021-01-29 00:00:00

eissn

2168-2194

issn

2168-2208

journal_volume

PP

pub_type

杂志文章

相关文献

IEEE Journal of Biomedical and Health Informatics文献大全
  • Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health.

    abstract：:Sensor systems can be deployed in the homes of older adults living alone for functional health assessments. Their information is very useful for health care specialists. The problem lies in developing person independent models while facing a large variability in behavior. We address this problem by, first, proposing a...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2016.2593980

    authors： Robben S,Englebienne G,Krose B

    更新日期：2017-07-01 00:00:00

  • A DNA-Based Intelligent Expert System for Personalised Skin-Health Recommendations.

    abstract：:Intensive attention on personalised skin-health solutions is on account of incomparable love of skin and an urgent need for effective treatment. In the meanwhile, people have great expectations on how to utilise genetic knowledge of our body to provide a precise solution for different individuals, such as daily use of...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2978667

    authors： Liu X,Chen CH,Karvela M,Toumazou C

    更新日期：2020-11-01 00:00:00

  • The technologically integrated oncosimulator: combining multiscale cancer modeling with information technology in the in silico oncology context.

    abstract：:This paper outlines the major components and function of the technologically integrated oncosimulator developed primarily within the Advancing Clinico Genomic Trials on Cancer (ACGT) project. The Oncosimulator is defined as an information technology system simulating in vivo tumor response to therapeutic modalities wi...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2284276

    authors： Stamatakos G,Dionysiou D,Lunzer A,Belleman R,Kolokotroni E,Georgiadi E,Erdt M,Pukacki J,Rüeping S,Giatili S,d'Onofrio A,Sfakianakis S,Marias K,Desmedt C,Tsiknakis M,Graf N

    更新日期：2014-05-01 00:00:00

  • Feasibility of Fingertip Oscillometric Blood Pressure Measurement: Model-Based Analysis and Experimental Validation.

    abstract：:The most commonly used oscillometric upper-arm (UA) blood pressure (BP) monitors are not convenient enough for ambulatory BP monitoring, given the large size of the arm cuff and the compression of UA during the measurement. Finger-worn oscillometric BP devices featuring miniaturized finger cuff have been developed and...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2919896

    authors： Liu J,Sodini CG,Ou Y,Yan B,Zhang YT,Zhao N

    更新日期：2020-02-01 00:00:00

  • Validation of Static and Dynamic Balance Assessment Using Microsoft Kinect for Young and Elderly Populations.

    abstract：:Reduction in balance is an indicator of fall risk, and therefore, an accurate and cost-effective balance assessment tool is essential for prescribing effective postural control strategies. This study established the validity of the Kinect v2 sensor in assessing center of mass (CoM) excursion and velocity during single...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2686330

    authors： Eltoukhy MA,Kuenze C,Oh J,Signorile JF

    更新日期：2018-01-01 00:00:00

  • A New Active Contours Approach for Finger Extensor Tendon Segmentation in Ultrasound Images Using Prior Knowledge and Phase Symmetry.

    abstract：:This work proposes a new approach for the segmentation of the extensor tendon in ultrasound images of the second metacarpophalangeal joint (MCPJ). The MCPJ is known to be frequently involved in early stages of rheumatic diseases like rheumatoid arthritis. The early detection and follow up of these diseases is importan...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2723819

    authors： Martins N,Sultan S,Veiga D,Ferreira M,Teixeira F,Coimbra M,Martins N,Sultan S,Veiga D,Ferreira M,Teixeira F,Coimbra M

    更新日期：2018-07-01 00:00:00

  • A survey on ambient-assisted living tools for older adults.

    abstract：:In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/jbhi.2012.2234129

    authors： Rashidi P,Mihailidis A

    更新日期：2013-05-01 00:00:00

  • Fast QRS Detection and ECG Compression Based on Signal Structural Analysis.

    abstract：OBJECTIVE:This paper presents a fast approach to detect QRS complexes based on a simple analysis of the temporal ECG structure. METHODS:The ECG is processed through several steps involving noise removal, feature detection, and feature analysis. The obtained feature set, which holds most of the ECG information while re...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2792404

    authors： Burguera A

    更新日期：2019-01-01 00:00:00

  • A low-complexity ECG feature extraction algorithm for mobile healthcare applications.

    abstract：:This paper introduces a low-complexity algorithm for the extraction of the fiducial points from the Electrocardiogram (ECG). The application area we consider is that of remote cardiovascular monitoring, where continuous sensing and processing takes place in low-power, computationally constrained devices, thus the powe...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/TITB.2012.2231312

    authors： Mazomenos EB,Biswas D,Acharyya A,Chen T,Maharatna K,Rosengarten J,Morgan J,Curzen N

    更新日期：2013-03-01 00:00:00

  • Groupwise Multichannel Image Registration.

    abstract：:Multichannel image registration is an important challenge in medical image analysis. Multichannel images result from modalities such as dual-energy CT or multispectral microscopy. Besides, multichannel feature images can be derived from acquired images, for instance, by applying multiscale feature banks to the origina...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2844361

    authors： Guyader JM,Huizinga W,Fortunati V,Poot DHJ,Veenland JF,Paulides MM,Niessen WJ,Klein S

    更新日期：2019-05-01 00:00:00

  • A study on quality assessment for medical ultrasound video compressed via HEVC.

    abstract：:The quality of experience and quality of service provided in the healthcare sector are critical in evaluating the reliable delivery of the healthcare services provided. Medical images and videos play a major role in modern e-health services and have become an integral part of medical data communication systems. The qu...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2326891

    authors： Razaak M,Martini MG,Savino K

    更新日期：2014-09-01 00:00:00

  • A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.

    abstract：:With the passage of recent federal legislation, many medical institutions are now responsible for reaching target hospital readmission rates. Chronic diseases account for many hospital readmissions and chronic obstructive pulmonary disease has been recently added to the list of diseases for which the United States gov...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2017.2684121

    authors： Agarwal A,Baechle C,Behara R,Zhu X

    更新日期：2018-03-01 00:00:00

  • Three-Dimensional Needle Shape Estimation in TRUS-Guided Prostate Brachytherapy Using 2-D Ultrasound Images.

    abstract：:In this paper, we propose an automated method to reconstruct the three-dimensional (3-D) needle shape during needle insertion procedures using only 2-D transverse ultrasound (US) images. Using a set of transverse US images, image processing and random sample consensus are used to locate the needle within each image an...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2477829

    authors： Waine M,Rossa C,Sloboda R,Usmani N,Tavakoli M

    更新日期：2016-11-01 00:00:00

  • Posture and activity recognition and energy expenditure estimation in a wearable platform.

    abstract：:The use of wearable sensors coupled with the processing power of mobile phones may be an attractive way to provide real-time feedback about physical activity and energy expenditure (EE). Here, we describe the use of a shoe-based wearable sensor system (SmartShoe) with a mobile phone for real-time recognition of variou...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2432454

    authors： Sazonov E,Hegde N,Browning RC,Melanson EL,Sazonova NA

    更新日期：2015-07-01 00:00:00

  • A Flexible Wearable Device for Measurement of Cardiac, Electrodermal, and Motion Parameters in Mental Healthcare Applications.

    abstract：:Mental illnesses are vast and cause a lot of individual and social discomfort, with significant healthcare costs associated in terms of diagnosis and treatment. They can be triggered by a number of factors including stress, fatigue or anxiety. The associated physiological, cardiac and autonomic changes can be assessed...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2938311

    authors： Rosa BMG,Yang GZ

    更新日期：2019-11-01 00:00:00

  • Near real-time retroflexion detection in colonoscopy.

    abstract：:Colonoscopy is the most popular screening tool for colorectal cancer. Recent studies reported that retroflexion during colonoscopy helped to detect more polyps. Retroflexion is an endoscope maneuver that enables visualization of internal mucosa along the shaft of the endoscope, enabling visualization of the mucosa are...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/TITB.2012.2226595

    authors： Wang Y,Tavanapong W,Wong J,Oh J,de Groen PC

    更新日期：2013-01-01 00:00:00

  • Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images.

    abstract：:Intestinal contractions are one of the most important events to diagnose motility pathologies of the small intestine. When visualized by wireless capsule endoscopy (WCE), the sequence of frames that represents a contraction is characterized by a clear wrinkle structure in the central frames that corresponds to the fol...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2304179

    authors： Seguí S,Drozdzal M,Zaytseva E,Malagelada C,Azpiroz F,Radeva P,Vitrià J

    更新日期：2014-11-01 00:00:00

  • Unsupervised eye blink artifact denoising of EEG data with modified multiscale sample entropy, Kurtosis, and wavelet-ICA.

    abstract：:Brain activities commonly recorded using the electroencephalogram (EEG) are contaminated with ocular artifacts. These activities can be suppressed using a robust independent component analysis (ICA) tool, but its efficiency relies on manual intervention to accurately identify the independent artifactual components. In...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2333010

    authors： Mahajan R,Morshed BI

    更新日期：2015-01-01 00:00:00

  • Tear Film Classification in Interferometry Eye Images Using Phylogenetic Diversity Indexes and Ripley's K Function.

    abstract：:Dry eye syndrome is one of the most frequently reported eye diseases in ophthalmological practice. The diagnosis of this disease is a challenging task due to its multifactorial etiology. One of the most applied tests is the manual classification of tear film images captured with the Doane interferometer. The interfere...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.3026940

    authors： da Cruz LB,Souza JC,de Paiva AC,de Almeida JDS,Junior GB,Aires KRT,Silva AC,Gattass M

    更新日期：2020-12-01 00:00:00

  • Automation of the Timed-Up-and-Go Test Using a Conventional Video Camera.

    abstract：:The Timed-Up-and-Go (TUG) test is a simple clinical tool commonly used to quickly assess the mobility of patients. Researchers have endeavored to automate the test using sensors or motion tracking systems to improve its accuracy and to extract more resolved information about its sub-phases. While some approaches have ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2934342

    authors： Savoie P,Cameron JAD,Kaye ME,Scheme EJ

    更新日期：2020-04-01 00:00:00

  • A joint FED watermarking system using spatial fusion for verifying the security issues of teleradiology.

    abstract：:Teleradiology allows transmission of medical images for clinical data interpretation to provide improved e-health care access, delivery, and standards. The remote transmission raises various ethical and legal issues like image retention, fraud, privacy, malpractice liability, etc. A joint FED watermarking system means...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2013.2281322

    authors： Viswanathan P,Krishna PV

    更新日期：2014-05-01 00:00:00

  • Sleep Period Time Estimation Based on Electrodermal Activity.

    abstract：:We proposed and tested a method to estimate sleep period time (SPT) using electrodermal activity (EDA) signals. Eight healthy subjects and six obstructive sleep apnea patients participated in the experiments. Each subject's EDA signals were measured at the middle and ring fingers of the dominant hand during polysomnog...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2490480

    authors： Hwang SH,Seo S,Yoon HN,Jung DW,Baek HJ,Cho J,Choi JW,Lee YJ,Jeong DU,Park KS

    更新日期：2017-01-01 00:00:00

  • Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain.

    abstract：:Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although polypectomy at early stage reduces CRC incidence, 90% of the polyps are small and diminutive, where removal of them poses risks to patients that may outweigh the benefits. Correctly detecting and predicting polyp type during colonoscopy al...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2016.2635662

    authors： Zhang R,Zheng Y,Mak TW,Yu R,Wong SH,Lau JY,Poon CC

    更新日期：2017-01-01 00:00:00

  • Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks.

    abstract：:This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) heartbeat classification. A symbolization approach especially designed for ECG is introduced, which can jointly represent the morphology and rhythm of the heartbeat and alleviate the influence of inter-patient variation t...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2942938

    authors： Niu J,Tang Y,Sun Z,Zhang W

    更新日期：2020-05-01 00:00:00

  • Sleeve for Knee Angle Monitoring: An IMU-POF Sensor Fusion System.

    abstract：:The knee flexion-extension angle is an important variable to be monitored in various clinical scenarios, for example, during physical rehabilitation assessment. The purpose of this work is to develop and validate a sensor fusion system based on a knee sleeve for monitoring of physical therapy. The system consists of m...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2020.2988360

    authors： Vargas Valencia LS,B A Schneider F,Leal-Junior A,Caicedo-Rodriguez P,Sierra-Arevalo WA,Rodriguez-Cheu LE,Bastos-Filho TF,Frizera A

    更新日期：2020-04-20 00:00:00

  • GluNet: A Deep Learning Framework for Accurate Glucose Forecasting.

    abstract：:For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest continuous glucose monitoring (CGM) technology allows people to observe glucose in real-time. However, an accurate glucose forecast remains a ch...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2931842

    authors： Li K,Liu C,Zhu T,Herrero P,Georgiou P

    更新日期：2020-02-01 00:00:00

  • Joint Feature Extraction and Classifier Design for ECG-Based Biometric Recognition.

    abstract：:Traditional biometric recognition systems often utilize physiological traits such as fingerprint, face, iris, etc. Recent years have seen a growing interest in electrocardiogram (ECG)-based biometric recognition techniques, especially in the field of clinical medicine. In existing ECG-based biometric recognition metho...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2015.2402199

    authors： Gutta S,Cheng Q

    更新日期：2016-03-01 00:00:00

  • Automated Surgical Term Clustering: A Text Mining Approach for Unstructured Textual Surgery Descriptions.

    abstract：:High costs in health care and everlasting need for quality improvement in care delivery is increasingly becoming the motivating factor for novel predictive studies in health care informatics. Surgical services impact both the operating theatre costs and revenues and play critical role in care quality. Efficiency of su...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2019.2956973

    authors： Khaleghi T,Murat A,Arslanturk S,Davies E

    更新日期：2020-07-01 00:00:00

  • Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight Measurements.

    abstract：:The structure of the cumulative food intake (CFI) curve has been associated with obesity and eating disorders. Scales that record the weight loss of a plate from which a subject eats food are used for capturing this curve; however, their measurements are contaminated by additive noise and are distorted by certain type...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2018.2812243

    authors： Papapanagiotou V,Diou C,Ioakimidis I,Sodersten P,Delopoulos A

    更新日期：2019-03-01 00:00:00

  • Vein visualization using a smart phone with multispectral Wiener estimation for point-of-care applications.

    abstract：:Effective vein visualization is clinically important for various point-of-care applications, such as needle insertion. It can be achieved by utilizing ultrasound imaging or by applying infrared laser excitation and monitoring its absorption. However, while these approaches can be used for vein visualization, they are ...

    journal_title：IEEE journal of biomedical and health informatics

    pub_type： 杂志文章

    doi：10.1109/JBHI.2014.2313145

    authors： Song JH,Kim C,Yoo Y

    更新日期：2015-03-01 00:00:00