Diagnosis of Irritant Dermatitis in Colorectal Cancer Postoperative Stoma Patients Using Smartphone Photographs: A Deep Learning Approach
The ConvNeXt model outperformed MobileViT, indicating that advanced CNNs can effectively assist in the early diagnosis of irritant dermatitis among stoma patients. This could help alleviate the burden on healthcare resources and improve patient outcomes through accessible mobile-based diagnostic tools.
Authors
- Wei Xu (ORCID: https://orcid.org/0000-0002-8113-9746)
- Zheng Xu (ORCID: https://orcid.org/0000-0003-0311-7004)
- Henry H. Y. Tong (ORCID: https://orcid.org/0000-0003-2687-741X)
- Zhiwen Wang (ORCID: https://orcid.org/0000-0002-0983-6133)
- Kefeng Li (ORCID: https://orcid.org/0000-0002-7233-4347)
- Xu Zhang (ORCID: https://orcid.org/0000-0003-0347-8029)
- Xuefei Jiao
Institutions
- Peking University (CN)
- Shanxi Provincial Cancer Hospital (CN)
- Peking University First Hospital (CN)
- Macao Polytechnic University (MO)
Publication Details
- Journal
- Journal of Multidisciplinary Healthcare
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/jmdh.s515644
- Citations
- 3
- Primary Topic
- Pressure Ulcer Prevention and Management
- Type
- article
- Field-Weighted Citation Impact
- 17.32
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Peking University