Deep Generative Adversarial Networks: Applications in Musculoskeletal Imaging-Reference-Cited by-同舟云学术

Deep Generative Adversarial Networks: Applications in Musculoskeletal Imaging

Published:2021-05-01 Issue:3 Volume:3 Page:e200157
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Shin YiRang¹^ORCID,Yang Jaemoon¹^ORCID,Lee Young Han¹^ORCID

Affiliation:

1. From the Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, 250 Seongsanno, Seodaemun-gu, Seoul 220-701, Republic of Korea (Y.S., J.Y., Y.H.L.); Systems Molecular Radiology at Yonsei (SysMolRaY), Seoul, Republic of Korea (J.Y.); and Severance Biomedical Science Institute (SBSI), Yonsei University College of Medicine, Seoul, Republic of Korea (J.Y.).

Funder

National Research Foundation

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021200157

Reference71 articles.

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5. Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

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