Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study
The MA-YOLO model demonstrates the ability to achieve efficient, accurate, and noninvasive preoperative localization and classification of common adrenal masses in CT examinations, showing promising potential for future applications.
Authors
- Maolin Yang (ORCID: https://orcid.org/0009-0006-6389-3928)
- Zhenhui Li (ORCID: https://orcid.org/0000-0001-7221-2588)
- Liuyang Yang (ORCID: https://orcid.org/0000-0001-6140-6846)
- Zhuorui Zhang (ORCID: https://orcid.org/0000-0002-3427-9818)
- Ruiying Yan
- Ning Xu (ORCID: https://orcid.org/0000-0002-3638-1154)
- Junfeng Yang (ORCID: https://orcid.org/0000-0002-4220-2810)
- Yapeng Si (ORCID: https://orcid.org/0009-0007-3835-8541)
- Zhimin Liu (ORCID: https://orcid.org/0009-0002-3464-5352)
- Liyu Shan (ORCID: https://orcid.org/0000-0002-6700-1425)
- Shuailong Wang
- Yiwen Zhang (ORCID: https://orcid.org/0009-0000-8168-0682)
- Guangjun Yang (ORCID: https://orcid.org/0009-0006-8200-0208)
- Xingxiang Dong (ORCID: https://orcid.org/0000-0001-6637-445X)
- Jian Wang (ORCID: https://orcid.org/0000-0002-5421-5678)
- Ping Wu (ORCID: https://orcid.org/0000-0002-2835-413X)
- Xin Shi (ORCID: https://orcid.org/0009-0003-8522-0052)
- Jinjun Leng
- Wen-Liang Li (ORCID: https://orcid.org/0000-0003-0928-337X)
- Wei Li (ORCID: https://orcid.org/0000-0002-1674-0236)
- Lin Li (ORCID: https://orcid.org/0000-0003-4410-7064)
- Lizhu Liu (ORCID: https://orcid.org/0000-0001-5454-4810)
- Junfeng Wang
- Xinzhang Zhang
Institutions
- Kunming University of Science and Technology (CN)
- Fudan University (CN)
- Kunming Medical University (CN)
- First People's Hospital of Yunnan Province (CN)
- The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-04-24
- DOI
- https://doi.org/10.2196/65937
- Primary Topic
- Adrenal and Paraganglionic Tumors
- Type
- article
- Field-Weighted Citation Impact
- 0.00