Author Correction: Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder

Yuyeon Jung^#¹, Taewan Kim^#², Mi-Ryung Han³, Sejin Kim⁴, Geunyoung Kim⁴, Seungchul Lee^{5

6

7}, Youn Jin Choi^{8

9}

Affiliations

¹ Department of Obstetrics and Gynecology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Republic of Korea.
² Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
³ Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea.
⁴ Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
⁵ Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. seunglee@postech.ac.kr.
⁶ Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. seunglee@postech.ac.kr.
⁷ Institute of Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, Republic of Korea. seunglee@postech.ac.kr.
⁸ Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. yunno@catholic.ac.kr.
⁹ Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. yunno@catholic.ac.kr.

^# Contributed equally.

Published Erratum

Yuyeon Jung et al. Sci Rep. 2023.

. 2023 Jan 25;13(1):1407.

doi: 10.1038/s41598-023-28524-0.

Yuyeon Jung^#¹, Taewan Kim^#², Mi-Ryung Han³, Sejin Kim⁴, Geunyoung Kim⁴, Seungchul Lee^{5

6

7}, Youn Jin Choi^{8

9}

¹ Department of Obstetrics and Gynecology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Republic of Korea.
² Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
³ Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea.
⁴ Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
⁵ Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. seunglee@postech.ac.kr.
⁶ Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. seunglee@postech.ac.kr.
⁷ Institute of Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, Republic of Korea. seunglee@postech.ac.kr.
⁸ Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. yunno@catholic.ac.kr.
⁹ Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. yunno@catholic.ac.kr.

^# Contributed equally.

No abstract available

Erratum for

Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder.
Jung Y, Kim T, Han MR, Kim S, Kim G, Lee S, Choi YJ. Jung Y, et al. Sci Rep. 2022 Oct 11;12(1):17024. doi: 10.1038/s41598-022-20653-2. Sci Rep. 2022. PMID: 36220853 Free PMC article.