BKAI-IGH NeoPolyp-Small
Introduced by Lan et al. in NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection
This dataset contains 1200 images (1000 WLI images and 200 FICE images) with fine-grained segmentation annotations. The training set consists of 1000 images, and the test set consists of 200 images. All polyps are classified into neoplastic or non-neoplastic classes denoted by red and green colors, respectively. This dataset is a part of a bigger dataset called NeoPolyp.
Benchmarks
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BKAI-IGH NeoPolyp-Small
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RaBiT
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Papers
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