Automatic classification framework for ventricular septal defects: a pilot study on high-throughput mouse embryo cardiac phenotyping-Reference-Cited by-同舟云学术

Automatic classification framework for ventricular septal defects: a pilot study on high-throughput mouse embryo cardiac phenotyping

Published:2015-09-11 Issue:4 Volume:2 Page:041003
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:en
Short-container-title:J. Med. Imag

Author:

Xie Zhongliu¹,Liang Xi²,Guo Liucheng³,Kitamoto Asanobu⁴,Tamura Masaru⁵,Shiroishi Toshihiko⁶,Gillies Duncan⁷

Affiliation:

1. Imperial College London, Department of Computing, South Kensington Campus, London SW7 2AZ, United KingdombNational Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan

2. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, JapancUniversity of Melbourne, Department of Computer Science and Software Engineering, Parkville Campus, Melbourne VIC 3010, Australia

3. Imperial College London, Department of Electrical and Electronic Engineering, South Kensington Campus, London SW7 2AZ, United Kingdom

4. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan

5. National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, JapanfRIKEN BioResource Center, 3-1-1 Koyadai, Tsukuba, Ibaraki 305-0074, Japan

6. National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan

7. Imperial College London, Department of Computing, South Kensington Campus, London SW7 2AZ, United Kingdom

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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