A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts-Reference-Cited by-同舟云学术

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A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts

Published:2020-11 Issue: Volume:196 Page:105623
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Zhao Ming,Wei Yang,Lu Yu,Wong Kelvin K.L.

Funder

Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference53 articles.

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2. Maximum likelihood segmentation of ultrasound images with Rayleigh distribution;Sarti;IEEE Trans. Ultrason. Ferroelectr. Freq. Control,2005

3. Segmentation of ultrasound images––multiresolution 2D and 3D algorithm based on global and local statistics;Boukerroui;Pattern Recognit. Lett.,2003

4. A GA based approach for boundary detection of left ventricle with echocardiographic image sequences;Mishra;Image Vision Comput.,2003

5. A multiscale optimization approach for the dynamic contour-based boundary detection issue;Mignotte;Comput. Med. Imaging Graph.,2001

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