MMCC-Net, a multi-scale multi-path cascaded CNN with attention and feature enhancement, reports Dice scores from 77.4 to 94.5 across six polyp datasets, narrowly beating prior models.
These datasets are broadly used in evaluating the performance and efficacy of the various polyp segmentation methods under consideration
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps
MMCC-Net, a multi-scale multi-path cascaded CNN with attention and feature enhancement, reports Dice scores from 77.4 to 94.5 across six polyp datasets, narrowly beating prior models.