Recent advances in fibrosis and scar segmentation from cardiac MRI: a state-of-the-art review and future perspectives
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
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 …
Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images
Purpose Detection and accurate localization of renal masses (RM) are important steps
toward future potential classification of benign vs malignant RM. A fully automated algorithm …
toward future potential classification of benign vs malignant RM. A fully automated algorithm …
Evaluation of fully automated myocardial segmentation techniques in native and contrast‐enhanced T1‐mapping cardiovascular magnetic resonance images using …
Purpose T1‐mapping cardiac magnetic resonance (CMR) imaging permits noninvasive
quantification of myocardial fibrosis (MF); however, manual delineation of myocardial …
quantification of myocardial fibrosis (MF); however, manual delineation of myocardial …
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar
DM Papetti, K Van Abeelen, R Davies, R Menè… - Computer methods and …, 2023 - Elsevier
Background and objectives Myocardial infarction scar (MIS) assessment by cardiac
magnetic resonance provides prognostic information and guides patients' clinical …
magnetic resonance provides prognostic information and guides patients' clinical …
Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images
F Zabihollahy, A Lochbihler… - Medical imaging 2019 …, 2019 - spiedigitallibrary.org
Diabetic retinopathy (DR), which is a major cause of blindness in the world is characterized
by hard exudate lesions in the eyes as these lesions are one of the most prevalent and …
by hard exudate lesions in the eyes as these lesions are one of the most prevalent and …
Two-stage method for segmentation of the myocardial scars and edema on multi-sequence cardiac magnetic resonance
Y Liu, M Zhang, Q Zhan, D Gu, G Liu - … 2020, Lima, Peru, October 4, 2020 …, 2020 - Springer
Segmenting cardiac scars and edema from cardiac magnetic resonance (CMR) are
essential for the early diagnosis and accurate prognostic assessment of ischemic heart …
essential for the early diagnosis and accurate prognostic assessment of ischemic heart …
Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium
Cardiovascular diseases are a global leading cause of death. The automatic segmentation
of the left ventricle (LV) from magnetic resonance (MR) images is essential for quantitative …
of the left ventricle (LV) from magnetic resonance (MR) images is essential for quantitative …
A deep learning approach for the segmentation of myocardial diseases
Cardiac left ventricular (LV) segmentation is a paramount essential step for both diagnosis
and treatment of cardiac pathologies such as ischemia, myocardial infarction, arrhythmia …
and treatment of cardiac pathologies such as ischemia, myocardial infarction, arrhythmia …
A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases
Accurate three-dimensional (3D) cardiac segmentation from late gadolinium enhancement
(LGE)-MRI plays a critical role in designing a structure of reference for diagnosing many …
(LGE)-MRI plays a critical role in designing a structure of reference for diagnosing many …