Comparative performance of deep learning architectures for diabetic peripheral neuropathy detection using corneal confocal microscopy: a retrospective single-centre study
The InceptionV3-based DLA model achieved superior performance compared with traditional convolutional neural network architectures like ResNet and DenseNet, and the Swin transformer model, highlighting its potential for effective DPN screening.
Authors
- Jianzhang Hu (ORCID: https://orcid.org/0000-0003-0610-7856)
- Yuyang Deng
- Woei‐Luen Chen (ORCID: https://orcid.org/0000-0002-3607-789X)
- Weihuang Xu (ORCID: https://orcid.org/0000-0001-8463-9319)
Institutions
- Fujian Medical University (CN)
- Union Hospital (CN)
Publication Details
- Journal
- BMJ Open
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1136/bmjopen-2024-095342
- Citations
- 1
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.36