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[MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
[TMI'20] Learn to Threshold: ThresholdNet with Confidence-Guided Manifold Mixup for Polyp Segmentation
Kvasir-SEG: A Segmented Polyp Dataset
Polyp Classification and Clustering from Endoscopic Images using Competitive and Convolutional Neural Networks
Code Implementation of the FCB-SwinV2 Transformer
Schwann Cell Hamartoma in a Colon Polyp