Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images-Reference-Cited by-同舟云学术

Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images

Published:2020 Issue:8 Volume:21 Page:987
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Ahn Yura¹^ORCID,Yoon Jee Seok²^ORCID,Lee Seung Soo¹^ORCID,Suk Heung-Il²³^ORCID,Son Jung Hee¹^ORCID,Sung Yu Sub¹,Lee Yedaun⁴,Kang Bo-Kyeong⁵,Kim Ho Sung¹^ORCID

Affiliation:

1. Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

2. Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.

3. Department of Artificial Intelligence, Korea University, Seoul, Korea.

4. Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.

5. Department of Radiology, Hanyang University Medical Center, Hanyang University School of Medicine, Seoul, Korea.

Funder

National Research Foundation of Korea

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2020.0237

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