Deep Learning-Based Diagnosis of Fatal Hypothermia Using Post-Mortem Computed Tomography-Reference-Cited by-同舟云学术

Deep Learning-Based Diagnosis of Fatal Hypothermia Using Post-Mortem Computed Tomography

Published:2023 Issue:3 Volume:260 Page:253-261
ISSN:0040-8727
Container-title:The Tohoku Journal of Experimental Medicine
language:en
Short-container-title:Tohoku J. Exp. Med.

Author:

Zeng Yuwen¹,Zhang Xiaoyong²,Yoshizumi Issei³,Zhang Zhang¹,Mizuno Taihei⁴,Sakamoto Shota⁴,Kawasumi Yusuke³,Usui Akihito³,Ichiji Kei³,Bukovsky Ivo⁵,Funayama Masato³,Homma Noriyasu³

Affiliation:

1. Department of Intelligent Biomedical Systems Engineering, Graduate School of Biomedical Engineering, Tohoku University

2. National Institute of Technology, Sendai College

3. Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine

4. Department of Management Science and Technology, Graduate School of Engineering, Tohoku University

5. Faculty of Science, University of South Bohemia in Ceske Budejovice

Publisher

Tohoku University Medical Press

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

https://www.jstage.jst.go.jp/article/tjem/260/3/260_2023.J041/_pdf

Reference19 articles.

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2. Funayama, M. (2008) Diagnosis of hypothermia. Nihon Hoigaku Zasshi, 62, 145-154 (in Japanese).

3. He, K., Zhang, X., Ren, S. & Sun, J. (2016) Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, pp. 770-778.

4. Homma, N., Zhang, X., Qureshi, A., Konno, T., Kawasumi, Y., Usui, A., Funayama, M., Bukovsky, I., Ichiji, K., Sugita, N. & Yoshizawa, M. (2020) A deep learning aided drowning diagnosis for forensic investigations using post-mortem lung CT images. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2020, 1262-1265.

5. Hyodoh, H., Shimizu, J., Rokukawa, M., Okazaki, S., Mizuo, K. & Watanabe, S. (2016) Postmortem computed tomography findings in the thorax - experimental evaluation. Leg. Med. (Tokyo), 19, 96-100.

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