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Vit Diabetic Retinopathy Classification
基於Vision Transformer (ViT)架構的糖尿病視網膜病變分類模型，在評估集上達到72.87%的準確率
Downloads 197
Release Time : 2/24/2023
Model Overview
該模型用於從眼底圖像中自動分類糖尿病視網膜病變的嚴重程度，可輔助醫療診斷
Model Features
高準確率
在評估集上達到72.87%的分類準確率
基於ViT架構
採用先進的Vision Transformer架構處理醫學圖像
醫療輔助
可輔助醫生進行糖尿病視網膜病變的早期篩查
Model Capabilities
眼底圖像分析
糖尿病視網膜病變分級
醫學圖像分類
Use Cases
醫療診斷
視網膜病變篩查
自動分析眼底照片並判斷病變程度
72.87%的評估準確率
遠程醫療
在醫療資源匱乏地區提供初步診斷支持
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