Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction.

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Bibliographic Details
Title: Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction.
Authors: Kim DY; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea.; College of Medicine, Seoul National University, Seoul, Korea., Lee SJ; College of Medicine, Seoul National University, Seoul, Korea., Kim EK; Department of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea., Kang E; Department of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea., Heo CY; Department of Plastic and Reconstructive Surgery, Seoul National University Bundang Hospital, Seongnam, Korea., Jeong JH; Department of Plastic and Reconstructive Surgery, Seoul National University Bundang Hospital, Seongnam, Korea., Myung Y; Department of Plastic and Reconstructive Surgery, Seoul National University Bundang Hospital, Seongnam, Korea., Kim IA; College of Medicine, Seoul National University, Seoul, Korea.; Department of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea., Jang BS; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea. bigwiz83@gmail.com.; College of Medicine, Seoul National University, Seoul, Korea. bigwiz83@gmail.com.; Department of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea. bigwiz83@gmail.com.
Source: NPJ digital medicine [NPJ Digit Med] 2022 Sep 07; Vol. 5 (1), pp. 136. Date of Electronic Publication: 2022 Sep 07.
Publication Type: Published Erratum
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-022-00688-5