A. Tamrakar

Multi-Task Deep Learning Framework for Simultaneous Diabetic Retinopathy Grading and Lesion Segmentation Using CNN-Transformer Hybrid Architecture: A Review

This paper shows how joint optimization of segmentation masks and grading outputs greatly enhances feature representation and clinical explainability and assesses how typical convolutional networks' intrinsic shortcomings in detecting tiny, size-variant micro pathologies might be solved by harmonizing the dualism of gl...