Deep learning for cardiac image segmentation: a review
Deep learning has become the most widely used approach for cardiac image segmentation
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …
Cardiac MR: from theory to practice
Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality,
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …
Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images
Objective The aim of this paper is to investigate the use of fully convolutional neural
networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic …
networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic …
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI
Abstract Delayed Enhancement cardiac MRI (DE-MRI) has become indispensable for the
diagnosis of myocardial diseases. However, to quantify the disease severity, doctors need …
diagnosis of myocardial diseases. However, to quantify the disease severity, doctors need …
Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net …
Purpose Three‐dimensional (3D) late gadolinium enhancement magnetic resonance (LGE‐
MR) imaging enables the quantification of myocardial scar at high resolution with …
MR) imaging enables the quantification of myocardial scar at high resolution with …
Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U‐Nets
Purpose Accurate regional segmentation of the prostate boundaries on magnetic resonance
(MR) images is a fundamental requirement before automated prostate cancer diagnosis can …
(MR) images is a fundamental requirement before automated prostate cancer diagnosis can …
Convolutional neural network‐based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images
Purpose Accurate three‐dimensional (3D) segmentation of myocardial replacement fibrosis
(ie, scar) is emerging as a potentially valuable tool for risk stratification and procedural …
(ie, scar) is emerging as a potentially valuable tool for risk stratification and procedural …
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images
Myocardial pathology segmentation is essential for the diagnosis and treatment of patients
suffering from myocardial infarction. In this work, we propose an end-to-end deep learning …
suffering from myocardial infarction. In this work, we propose an end-to-end deep learning …
An improved 3D deep learning-based segmentation of left ventricular myocardial diseases from delayed-enhancement MRI with inclusion and classification prior …
Accurate segmentation of the myocardial scar may supply relevant advancements in
predicting and controlling deadly ventricular arrhythmias in subjects with cardiovascular …
predicting and controlling deadly ventricular arrhythmias in subjects with cardiovascular …
Artificial intelligence as a diagnostic tool in non-invasive imaging in the assessment of coronary artery disease
Coronary artery disease (CAD) remains a leading cause of mortality and morbidity
worldwide, and it is associated with considerable economic burden. In an ageing …
worldwide, and it is associated with considerable economic burden. In an ageing …