A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images

International audienc

UNITOPATHO

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