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DRCCT: Enhancing Diabetic Retinopathy Classification with A Compact Convolutional Transformer

2024-09-04

Abstract excerpt

Diabetic retinopathy, a common complication of diabetes, is further exacerbated by factors such as hypertension and obesity. This study introduces the Diabetic Retinopathy Convolutional Transformer (DRCT) model, which combines convolutional and transformer techniques to enhance the classification of retinal images. The DRCT model achieved an impressive average F1 score of 0.97, reflecting its high accuracy in dete...

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Literature Corpus work
0fdba436-cad9-53e3-8a0a-de965123ae65
DOI
10.20944/preprints202409.0303.v1
Open publication

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DRCCT: Enhancing Diabetic Retinopathy Classification with A Compact Convolutional TransformerDOI 10.20944/preprints202409.0303.v1
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