Copyright
©The Author(s) 2021.
World J Gastroenterol. Oct 14, 2021; 27(38): 6399-6414
Published online Oct 14, 2021. doi: 10.3748/wjg.v27.i38.6399
Published online Oct 14, 2021. doi: 10.3748/wjg.v27.i38.6399
Dataset | Year | Description | Data type | Ground truth |
CVC-ColonDB[29,58] | 2012 | 380 sequential WL images from 15 videos | Images (574 × 500 pixels) | Binary mask to locate the polyp |
CVC-PolypHD[58,59] | 2012 | 56 WL images | Images (1920 × 1080 pixels) | Binary mask to locate the polyp |
ETIS-Larib[55] | 2014 | 196 WL images from 34 video sequences (44 different polyps) | Images (1125 × 966) | Binary mask to locate the polyp |
CVC-ClinicDB[37] | 2015 | 612 sequential WL images from 31 videos sequences (31 different polyps) | Images (388 × 284 pixels) | Binary mask to locate the polyp |
ASU-Mayo[22] | 2016 | 38 short video sequences (NBI, WL) | Video (SD and HD video) | Binary mask for 20 training videos |
Colonoscopic dataset[49] | 2016 | 76 short video sequences (NBI, WL) | Video | Labels: hyperplastic, adenoma and serrated |
Kvasir-SEG[60] | 2017 | 1000 images with polyps | Images | Binary mask to locate the polyp |
CVC-ClinicVideoDB[61] | 2017 | 18 sequences | Video (SD video) | Binary mask to locate the polyp |
CP-CHILD-A, CP-CHILD-B[62] | 2020 | 10000 images | Images (256 × 256) | Labels: polyp and non-polyp |
- Citation: Viscaino M, Torres Bustos J, Muñoz P, Auat Cheein C, Cheein FA. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World J Gastroenterol 2021; 27(38): 6399-6414
- URL: https://www.wjgnet.com/1007-9327/full/v27/i38/6399.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i38.6399