Research on grading detection methods for diabetic retinopathy based on deep learning

HIGHLIGHTS

  • What: By modifying parts of its network structure and converting the prediction`s intermediate outputs into human-readable formats, the authors aim to tackle the aforementioned issues. The aim of this paper was not only to detect the disease grade but also to provide the corresponding diagnostic basis. The aims of this model consist of two parts: detecting the grade and providing the basis for detection. This indicates that the model possesses significant potential in the field of medical image analysis, particularly in the accurate grading and identification of lesions, a capability that is currently rare in . . .

     

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