WCE Curated Colon Disease Dataset Deep Learning

PLEASE, make sure to visit the original sources before using!
The images are capture via Wireless Capsule Endoscopy (WCE)

KVASIR Dataset (https://dl.acm.org/doi/abs/10.1145/3083187.3083212)
K. Pogorelov et al., “KVASIR”, Proceedings of the 8th ACM on Multimedia Systems Conference, 2017. DOI: 10.1145/3083187.3083212.

ETIS-Larib-Polyp DB Dataset (https://link.springer.com/article/10.1007/s11548-013-0926-3/)
J. Silva, A. Histace, O. Romain, X. Dray and B. Granado, “Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer”, International Journal of Computer Assisted Radiology and Surgery, vol. 9, no. 2, pp. 283-293, 2013. DOI:10.1007/s11548-013-0926-3.

This is used in the study:

F. J. P. Montalbo, “Diagnosing Gastrointestinal Diseases from Endoscopy Images through a Multi-Fused CNN with Auxiliary Layers, Alpha Dropouts, and a Fusion Residual Block,” Biomedical Signal Processing and Control (BSPC), vol. 76, July, 2022, doi: 10.1016/j.bspc.2022.103683

This dataset is sourced from Kaggle.