Abstract:
:Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging (MRI) in order to prevent inadequate or delayed BM treatment. However, BM lesion detection remains challenging partly due to their structural similarities to normal structures (e.g., vasculature). We propose a BM-detection framework using a single-sequence gadolinium-enhanced T1-weighted 3D MRI dataset. The framework focuses on the detection of smaller (<15 mm) BM lesions and consists of: (1) candidate-selection stage, using Laplacian of Gaussian approach for highlighting parts of an MRI volume holding higher BM occurrence probabilities, and (2) detection stage that iteratively processes cropped region-of-interest volumes centered by candidates using a custom-built 3D convolutional neural network ("CropNet"). Data is augmented extensively during training via a pipeline consisting of random ga mma correction and elastic deformation stages; the framework thereby maintains its invariance for a plausible range of BM shape and intensity representations. This approach is tested using five-fold cross-validation on 217 datasets from 158 patients, with training and testing groups randomized per patient to eliminate learning bias. The BM database included lesions with a mean diameter of ∼5.4 mm and a mean volume of ∼160 mm3. For 90% BM-detection sensitivity, the framework produced on average 9.12 false-positive BM detections per patient (standard deviation of 3.49); for 85% sensitivity, the average number of false-positives declined to 5.85. Comparative analysis showed that the framework produces comparable BM-detection accuracy with the state-of-art approaches validated for significantly larger lesions.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Dikici E,Ryu JL,Demirer M,Bigelow M,White RD,Slone W,Erdal BS,Prevedello LMdoi
10.1109/JBHI.2020.2982103subject
Has Abstractpub_date
2020-10-01 00:00:00pages
2883-2893issue
10eissn
2168-2194issn
2168-2208journal_volume
24pub_type
杂志文章abstract::Surface electromyography (sEMG) is widely used in evaluating the functional status of the hand to assist in hand gesture recognition, prosthetics and rehabilitation applications. The sEMG is a noninvasive, easy to record signal of superficial muscles from the skin surface. Considering the nonstationary characteristics...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2326660
更新日期:2015-03-01 00:00:00
abstract::Artificial intelligence and decision support systems offer a plethora of health monitoring capabilities in ambient assisted living environment. Continuous assessment of health indicators for elderly people living on their own is of utmost importance, so as to prolong their independence and quality of life. Slow varyin...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2336757
更新日期:2015-01-01 00:00:00
abstract::Blood biochemistry attributes form an important class of tests, routinely collected several times per year for many patients with diabetes. The objective of this study is to investigate the role of blood biochemistry for improving the predictive accuracy of the diagnosis of cardiac autonomic neuropathy (CAN) progressi...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2363177
更新日期:2016-01-01 00:00:00
abstract::Accurate segmentation and segmentation of lesions in PET images provide computer-aided procedures and doctors with parameters for tumour diagnosis, staging and prognosis. Currently, PET segmentation and lesion partitioning are manually measured by radiologists, which is time consuming and laborious, and tedious manual...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3024563
更新日期:2020-09-18 00:00:00
abstract::Due to the importance of nuclear structure in cancer diagnosis, several predictive models have been described for diagnosing a wide variety of cancers based on nuclear morphology. In many computer-aided diagnosis (CAD) systems, cancer detection tasks can be generally formulated as set classification problems, which ca...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2803793
更新日期:2019-01-01 00:00:00
abstract::This paper proposes a new blind end-member and abundance extraction (BEAE) method for multispectral fluorescence lifetime imaging microscopy (m-FLIM) data. The chemometrical analysis relies on an iterative estimation of the fluorescence decay end-members and their abundances. The proposed method is based on a linear m...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2013.2279335
更新日期:2014-03-01 00:00:00
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
更新日期:2020-07-01 00:00:00
abstract::Radio-frequency catheter ablation (RCA) is an established treatment for ventricular tachycardia (VT). A key feature of the RCA procedure is the need for a mapping approach that facilitates the identification of the target ablation site. In this study, we investigate the effect of the location of the reference potentia...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2013.2268012
更新日期:2014-01-01 00:00:00
abstract:OBJECTIVE:to provide a proof-of-concept tool for segmenting chronic wounds and transmitting the results as instructions and coordinates to a bioprinter robot and thus facilitate the treatment of chronic wounds. METHODS:several segmentation methods used for measuring wound geometry, including edge-detection and morphol...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2743526
更新日期:2018-07-01 00:00:00
abstract::This work deals with the extraction of patient-specific coronary venous anatomy in preoperative multislice computed tomography (MSCT) volumes. A hybrid approach has been specifically designed for low-contrast vascular structure detection. It makes use of a minimum cost path technique with a Fast-Marching front propaga...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2013.2245420
更新日期:2013-03-01 00:00:00
abstract::Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) images is crucial for dealing with a hemorrhagic stroke. However, due to the high variability of a stroke's location, contrast, and shape,...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3028243
更新日期:2020-10-01 00:00:00
abstract:BACKGROUND AND OBJECTIVE:New technology enables constant boost to the powers of mobile devices, which in the previous years have transformed from simple mobile phones to smart phones. Computational powers of these electronics enable actions that previously were possible only for computers. By the use of special applica...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2891729
更新日期:2019-09-01 00:00:00
abstract::The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intelligence (AI) and leveraging the large-scale and up-to-date data generated...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3009314
更新日期:2020-10-01 00:00:00
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
更新日期:2017-01-01 00:00:00
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
更新日期:2013-05-01 00:00:00
abstract::This paper proposes a novel hybrid network named multiple-feature-branch convolutional bidirectional recurrent neural network (MFB-CBRNN) for myocardial infarction (MI) detection using 12-lead ECGs. The model efficiently combines convolutional neural network-based and recurrent neural network-based structures. Each fe...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2910082
更新日期:2020-02-01 00:00:00
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
更新日期:2020-02-01 00:00:00
abstract:PURPOSE:Women with BRCA1/2 mutations have higher risk for breast and ovarian cancers. Available intervention actions include prophylactic surgeries and breast screening, which vary significantly in cost, cancer prevention, and in resulting death from other causes. We present a model designed to yield optimal interventi...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2319246
更新日期:2015-03-01 00:00:00
abstract::We propose an extended model of cardiovascular regulation to assess heart rate variability in patients poisoned with organophosphate during their treatment with mechanical ventilation. The model was modified to fit a population of 21 patients poisoned with organophosphorus compounds and undergoing mechanical ventilati...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2894758
更新日期:2019-11-01 00:00:00
abstract::This study examines the electromyogram (EMG)-torque relation for chronic stroke survivors using a novel EMG complexity representation. Ten stroke subjects performed a series of submaximal isometric elbow flexion tasks using their affected and contralateral arms, respectively, while a 20-channel linear electrode array ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2016.2626399
更新日期:2017-11-01 00:00:00
abstract::Ultrasound imaging has become a prevalent examination method in prenatal diagnosis. Accurate acquisition of fetal facial standard plane (FFSP) is the most important precondition for subsequent diagnosis and measurement. In the past few years, considerable effort has been devoted to FFSP recognition using various hand-...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2705031
更新日期:2018-05-01 00:00:00
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
更新日期:2018-07-01 00:00:00
abstract::Precise skin lesion classification is still challenging due to two problems, i.e., (1) inter-class similarity and intra-class variation of skin lesion images, and (2) the weak generalization ability of single Deep Convolutional Neural Network trained with limited data. Therefore, we propose a Global-Part Convolutional...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2977013
更新日期:2020-10-01 00:00:00
abstract::Optical coherence tomography angiography (OCTA) is an emerging non-invasive imaging technique for imaging the microvasculature of the eye based on phase variance or amplitude decorrelation derived from repeated OCT images of the same tissue area. Stripe noise occurs during the OCTA acquisition process due to the invol...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2997381
更新日期:2020-12-01 00:00:00
abstract::Scanning laser ophthalmoscopes (SLOs) can be used for early detection of retinal diseases. With the advent of latest screening technology, the advantage of using SLO is its wide field of view, which can image a large part of the retina for better diagnosis of the retinal diseases. On the other hand, during the imaging...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2352271
更新日期:2015-07-01 00:00:00
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
更新日期:2019-01-01 00:00:00
abstract::Model-based Bayesian frameworks have a common problem in processing electrocardiogram (ECG) signals with sudden morphological changes. This situation often happens in the case of arrhythmias where ECGs do not obey the predefined state models. To solve this problem, in this paper, a model-based Bayesian denoising frame...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2706298
更新日期:2017-11-01 00:00:00
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
更新日期:2019-11-01 00:00:00
abstract::This study in preterm infants was designed to characterize the prognostic potential of several features of heart rate variability (HRV), respiration, and (infant) motion for the predictive monitoring of late-onset sepsis (LOS). In a neonatal intensive care setting, the cardiorespiratory waveforms of infants with blood...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2927463
更新日期:2020-03-01 00:00:00
abstract::Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients. When an asthmatic patient suffered from comorbidity, the cost of treating such a patient becomes dependent on the nature of the comorbidity. Therefore, lack of recognition of comorbidity on asthmatic patient pos...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3034092
更新日期:2020-10-27 00:00:00