Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study-Reference-Cited by-同舟云学术

Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study

Published:2022 Issue:5 Volume:23 Page:505
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Lee Jeong Hoon¹^ORCID,Kim Ki Hwan¹^ORCID,Lee Eun Hye²^ORCID,Ahn Jong Seok¹^ORCID,Ryu Jung Kyu³^ORCID,Park Young Mi⁴^ORCID,Shin Gi Won⁴^ORCID,Kim Young Joong⁵^ORCID,Choi Hye Young⁶^ORCID

Affiliation:

1. Lunit Inc., Seoul, Korea.

2. Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea.

3. Department of Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea.

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

5. Department of Radiology, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea.

6. Department of Radiology, Gyeongsang National University Hospital and College of Medicine, Gyeongsang National University, Jinju, Korea.

Funder

Korea Medical Device Development Fund

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2021.0476

Reference36 articles.

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