A ResNet, CBAM, Grad-CAM and T5-based framework produces lesion-aware captions and MES classification for ulcerative colitis endoscopy images, claiming 84.7% MES accuracy and BLEU-4 0.87.
Medical Image Analysis65, 101786 (2020)
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Lesion-Aware Visual-Language Fusion for Automated Image Captioning of Ulcerative Colitis Endoscopic Examinations
A ResNet, CBAM, Grad-CAM and T5-based framework produces lesion-aware captions and MES classification for ulcerative colitis endoscopy images, claiming 84.7% MES accuracy and BLEU-4 0.87.