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[HTML][HTML] Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge
Abstract Knowledge of whole heart anatomy is a prerequisite for many clinical applications.
Whole heart segmentation (WHS), which delineates substructures of the heart, can be very …
Whole heart segmentation (WHS), which delineates substructures of the heart, can be very …
High-resolution encoder–decoder networks for low-contrast medical image segmentation
Automatic image segmentation is an essential step for many medical image analysis
applications, include computer-aided radiation therapy, disease diagnosis, and treatment …
applications, include computer-aided radiation therapy, disease diagnosis, and treatment …
Left ventricle segmentation in cardiac MR: A systematic map** of the past decade
Left ventricle segmentation in short-axis cardiac magnetic resonance images is important to
diagnose heart disease. However, repetitive manual segmentation of these images requires …
diagnose heart disease. However, repetitive manual segmentation of these images requires …
DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography
Fetal echocardiography (FE) is a widely used medical examination for early diagnosis of
congenital heart disease (CHD). The apical four-chamber view (A4C) is an important view …
congenital heart disease (CHD). The apical four-chamber view (A4C) is an important view …
PWD-3DNet: a deep learning-based fully-automated segmentation of multiple structures on temporal bone CT scans
S Nikan, K Van Osch, M Bartling… - … on Image Processing, 2020 - ieeexplore.ieee.org
The temporal bone is a part of the lateral skull surface that contains organs responsible for
hearing and balance. Mastering surgery of the temporal bone is challenging because of this …
hearing and balance. Mastering surgery of the temporal bone is challenging because of this …
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging--Mini Review, Comparison and Perspectives
Magnetic Resonance Imaging (MRI) is a vital component of medical imaging. When
compared to other image modalities, it has advantages such as the absence of radiation …
compared to other image modalities, it has advantages such as the absence of radiation …
Deep atlas network for efficient 3D left ventricle segmentation on echocardiography
We proposed a novel efficient method for 3D left ventricle (LV) segmentation on
echocardiography, which is important for cardiac disease diagnosis. The proposed method …
echocardiography, which is important for cardiac disease diagnosis. The proposed method …
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation
The accurate whole heart segmentation (WHS) of multi-modality medical images including
magnetic resonance image (MRI) and computed tomography (CT) plays an important role in …
magnetic resonance image (MRI) and computed tomography (CT) plays an important role in …
Encoder modified U-net and feature pyramid network for multi-class segmentation of cardiac magnetic resonance images
Cardiovascular diseases are leading cause of death worldwide. Timely and accurate
detection of disease is required to reduce load on healthcare system and number of deaths …
detection of disease is required to reduce load on healthcare system and number of deaths …
Automatic whole heart segmentation using a two-stage u-net framework and an adaptive threshold window
T Liu, Y Tian, S Zhao, X Huang, Q Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Whole heart segmentation is an important medical imaging method used to enable clinical
applications. However, automatic segmentation of the heart is still a challenging task due to …
applications. However, automatic segmentation of the heart is still a challenging task due to …