Development of a transformer-based deep learning algorithm for diabetic peripheral neuropathy classification using corneal confocal microscopy images

Transformer-based networks outperform CNN-based networks in rapid binary DPN classification. Transformer-based DLAs have clinical DPN screening potential.

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Publication Details

Journal
Frontiers in Cell and Developmental Biology
Published
2024-10-14
DOI
https://doi.org/10.3389/fcell.2024.1484329
Citations
7
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
2.83
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article

Development of a transformer-based deep learning algorithm for diabetic peripheral neuropathy classification using corneal confocal microscopy images

Jianzhang Hu, Yuyang Deng, Woei‐Luen Chen, Danling Liao
7 citations
Frontiers in Cell and Developmental Biology
Retinal Imaging and Analysis
2.83
article

Development of a transformer-based deep learning algorithm for diabetic peripheral neuropathy classification using corneal confocal microscopy images

Jianzhang Hu, Yuyang Deng, Woei‐Luen Chen, Danling Liao
article en
7 citations

Abstract

Transformer-based networks outperform CNN-based networks in rapid binary DPN classification. Transformer-based DLAs have clinical DPN screening potential.

Frontiers in Cell and Developmental BiologyVol. 12
Fujian Medical University (CN), Union Hospital (CN)
Openalex Percentile: Top 9%
Retinal Imaging and Analysis
2.83
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