A three-stage EfficientNetV2 and UNet++ pipeline claims near-perfect colorectal polyp classification and segmentation, but the paper omits results for its subtype, Paris, JNet, and resection stages and does not release code.
Automated classification of polyps using deep learning architectures and few-shot learning
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PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps
A three-stage EfficientNetV2 and UNet++ pipeline claims near-perfect colorectal polyp classification and segmentation, but the paper omits results for its subtype, Paris, JNet, and resection stages and does not release code.