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.
Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy
1 Pith paper cite this work. Polarity classification is still indexing.
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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.