[HTML][HTML] Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge

X Zhuang, L Li, C Payer, D Štern, M Urschler… - Medical image …, 2019 - Elsevier
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 …

High-resolution encoder–decoder networks for low-contrast medical image segmentation

S Zhou, D Nie, E Adeli, J Yin, J Lian… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Automatic image segmentation is an essential step for many medical image analysis
applications, include computer-aided radiation therapy, disease diagnosis, and treatment …

Left ventricle segmentation in cardiac MR: A systematic map** of the past decade

MAO Ribeiro, FLS Nunes - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Left ventricle segmentation in short-axis cardiac magnetic resonance images is important to
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

L Xu, M Liu, Z Shen, H Wang, X Liu, X Wang… - … Medical Imaging and …, 2020 - Elsevier
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 …

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 …

Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging--Mini Review, Comparison and Perspectives

G Yang, J Lv, Y Chen, J Huang, J Zhu - arxiv preprint arxiv:2105.01800, 2021 - arxiv.org
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 …

Deep atlas network for efficient 3D left ventricle segmentation on echocardiography

S Dong, G Luo, C Tam, W Wang, K Wang, S Cao… - Medical image …, 2020 - Elsevier
We proposed a novel efficient method for 3D left ventricle (LV) segmentation on
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

X Liao, Y Qian, Y Chen, X **ong, Q Wang… - … Medical Imaging and …, 2020 - Elsevier
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 …

Encoder modified U-net and feature pyramid network for multi-class segmentation of cardiac magnetic resonance images

TS Sharan, S Tripathi, S Sharma… - IETE Technical …, 2022 - Taylor & Francis
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 …

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 …