UNITOPATHO
Creators
- 1. Medical Sciences Department, University of Turin
- 2. Computer Science Department, University of Turin
- 3. University of Turin
Description
The University of Turin (UniTO) released the open-access dataset UniTOPatho collected for the homonymous Use Case 2 in the DeepHealth project.
UniToPatho is a dataset of annotated high-resolution hematoxylin and eosin stained images, comprising different histological samples of colorectalpolyps, collected from patients undergoing cancer screening. The dataset is a collection of the most relevant patch images extracted from 292 whole-slide images. The DeepHealth UNITO team makes publicly available a total of 9536 patches classified according to the following labels:
NORM - Normal tissue,
HP - Hyperplastic Polyp,
TA.HG - Tubular Adenoma, High-Grade dysplasia,
TA.LG - Tubular Adenoma, Low-Grade dysplasia, TVA.HG - Tubulo-Villous Adenoma, High-Grade dysplasia, TVA.LG - Tubulo-Villous Adenoma, Low-Grade dysplasia.
The dataset is available at https://ieee-dataport.org/open-access/unitopatho.
Files
UNITOPATHOAnnouncement.pdf
Files
(930.8 kB)
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