Automatic Segmentation and Cardiac Mechanics Analysis of Evolving Zebrafish Using Deep Learning

Frontiers in Cardiovascular Medicine

Hung Cao¹  Kristofor E. Pas²  Toluwani Ijaseun²  Juhyun Lee³  Bohan Zhang⁴  Peng Fei⁵ 

[1] Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, United States;Joint Department of Bioengineering, University of Texas (UT) Arlington/(UT) Southwestern, Arlington, TX, United States;Joint Department of Bioengineering, University of Texas (UT) Arlington/(UT) Southwestern, Arlington, TX, United States;Department of Medical Education, Texas Christian University (TCU) and University of North Texas Health Science Center (UNTHSC) School of Medicine, Fort Worth, TX, United States;Joint Department of Bioengineering, University of Texas (UT) Arlington/(UT) Southwestern, Arlington, TX, United States;School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China;School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China;

关键词: U-net;    LSFM;    segmentation;    zebrafish;    cardiac mechanics;   

DOI  :  10.3389/fcvm.2021.675291

来源: Frontiers

【 授权许可】

CC BY