Intestinal polyp segmentation dataset

Citation Author(s):
Zeye
Xu
Submitted by:
Zeye Xu
Last updated:
Mon, 07/01/2024 - 06:10
DOI:
10.21227/5x6d-kq05
License:
0
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Abstract 

This dataset contains different intestinal polyp datasets, in which the method of dividing test set and training set is the same as that mentioned in most intestinal polyp segmentation methods, where the training set consists of pictures from Kvasir and CVC-ClinicDB, and pictures from the two datasets are mixed into the same training set. The test set clearly indicates the division of the test set from different data sets in the form of folder names, and all images are unified as 352*352. The test set includes test images from the Kvasir, CVC-ClinicDB, CVC-colonDB, ETIS, and CVC-300 data sets. This dataset can be used in image segmentation tasks in intestinal polyps.

Instructions: 

This dataset contains different intestinal polyp datasets, in which the method of dividing test set and training set is the same as that mentioned in most intestinal polyp segmentation methods, where the training set consists of pictures from Kvasir and CVC-ClinicDB, and pictures from the two datasets are mixed into the same training set. The test set clearly indicates the division of the test set from different data sets in the form of folder names, and all images are unified as 352*352. The test set includes test images from the Kvasir, CVC-ClinicDB, CVC-colonDB, ETIS, and CVC-300 data sets. This dataset can be used in image segmentation tasks in intestinal polyps.