Development of automatic organ segmentation based on positron-emission tomography analysis system using Swin UNETR in breast cancer patients in Korea
This study successfully standardized SUV calculation in nuclear medicine imaging through deep learning-based automated organ segmentation and SUV analysis, significantly enhancing accuracy in predicting breast cancer prognosis.
Authors
- Dong Hyeok Choi (ORCID: https://orcid.org/0000-0002-5520-732X)
- Hai‐Jeon Yoon (ORCID: https://orcid.org/0000-0001-8752-6280)
- Joonil Hwang
Institutions
- Ewha Womans University (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Yonsei University (KR)
- Ewha Womans University Medical Center (KR)
Publication Details
- Journal
- The Ewha Medical Journal
- Published
- 2025-04-02
- DOI
- https://doi.org/10.12771/emj.2025.00094
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00