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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 …
A survey on U-shaped networks in medical image segmentations
The U-shaped network is one of the end-to-end convolutional neural networks (CNNs). In
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Segmentation of medical images, particularly late gadolinium-enhanced magnetic
resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first …
resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first …
Deep neural architectures for medical image semantic segmentation
Deep learning has an enormous impact on medical image analysis. Many computer-aided
diagnostic systems equipped with deep networks are rapidly reducing human intervention in …
diagnostic systems equipped with deep networks are rapidly reducing human intervention in …
Deeply-supervised networks with threshold loss for cancer detection in automated breast ultrasound
ABUS, or Automated breast ultrasound, is an innovative and promising method of screening
for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains …
for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains …
OFF-eNET: An optimally fused fully end-to-end network for automatic dense volumetric 3D intracranial blood vessels segmentation
Intracranial blood vessels segmentation from computed tomography angiography (CTA)
volumes is a promising biomarker for diagnosis and therapeutic treatment in …
volumes is a promising biomarker for diagnosis and therapeutic treatment in …
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …
[HTML][HTML] Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention
Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of left atrial scar in
patients with atrial fibrillation (AF) has recently emerged as a promising technique to stratify …
patients with atrial fibrillation (AF) has recently emerged as a promising technique to stratify …
Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge
Accurate computing, analysis and modeling of the ventricles and myocardium from medical
images are important, especially in the diagnosis and treatment management for patients …
images are important, especially in the diagnosis and treatment management for patients …
GCW-UNet segmentation of cardiac magnetic resonance images for evaluation of left atrial enlargement
Background and objective Left atrial enlargement (LAE) is an anatomical variation of the left
atrium and the result of the long-term increase of left atrial pressure. Most of the increase in …
atrium and the result of the long-term increase of left atrial pressure. Most of the increase in …