This is a dataset for lumen segmentation. The dataset is composed of 1,754 endoscopic images from 23 patients undergoing Ureteroscopy. The dataset is composed of a total 2,187 endoscopic images with i
Probabilistic maps for 17 subcortical structures from the middle-aged population of the AHEAD database (41 to 60 year old). A parcellation as well as average and standard deviation maps for each indiv
The dataset folder is divided into two parts. The first part is the Train dataset, which contains 900 Kvasir-SEG data sets and 550 CVC-ClinicDB data sets, with a total of 1450 training images. image i
