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A Novel Clinically Explainable Vision Transformer for OCT-Based Retinal Disease Classification: Integrating UniMIE Enhancement and Grad-CAM Interpretability

2025-06-25

Abstract excerpt

<title>Abstract</title> <p>Explainable and precise Optical Coherence Tomography (OCT) image classification plays an essential role in early retinal disease detection and follow-up for conditions like Choroidal Neovascularization (CNV), Diabetic Macular Edema (DME), and Drusen. Conventionally applied deep learning models, including transformers and convolutional neural networks, yield state-of-the-art classificati...

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Literature Corpus work
0f2ace21-c598-5438-9b57-b5c9ebaa6560
DOI
10.21203/rs.3.rs-6510478/v1
Open publication

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A Novel Clinically Explainable Vision Transformer for OCT-Based Retinal Disease Classification: Integrating UniMIE Enhancement and Grad-CAM InterpretabilityDOI 10.21203/rs.3.rs-6510478/v1
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