Clinically Relevant Myocardium Segmentation in Cardiac Magnetic Resonance Images-Reference-Cited by-同舟云学术

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Clinically Relevant Myocardium Segmentation in Cardiac Magnetic Resonance Images

Published:2023-05 Issue:5 Volume:27 Page:2423-2431
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Gavirni Rohit¹,Gupta Divij²^ORCID,Mishra Deepak³^ORCID,Gupta Arbind¹^ORCID,Viswamitra Sanjaya⁴^ORCID

Affiliation:

1. HTPL, Bengaluru, India

2. Electrical Engineering Department, Indian Institute of Technology Jodhpur, Karwar, India

3. Computer Science and Engineering Department, Indian Institute of Technology Jodhpur, Karwar, India

4. Sri Sathya Sai Institute of Higher Medical Sciences, Bengaluru, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10116032/10058026.pdf?arnumber=10058026

Reference29 articles.

1. An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation

2. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

3. Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation

4. 2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation

5. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging

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1. A combination network based on graph modules for cardiac segmentation;Journal of Radiation Research and Applied Sciences;2024-06

2. PDC-Net: parallel dilated convolutional network with channel attention mechanism for pituitary adenoma segmentation;Frontiers in Physiology;2023-08-30

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