This dataset has been announced in the paper "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map" in Transaction on Medical Imaging 2019.
This dataset consists of 50 annotated images, divided into 11 patients.
The dataset for this challenge was obtained by carefully annotating tissue images of several patients with tumors of different organs and who were diagnosed at multiple hospitals. This dataset was created by downloading H&E stained tissue images captured at 40x magnification from TCGA archive. H&E staining is a routine protocol to enhance the contrast of a tissue section and is commonly used for tumor assessment (grading, staging, etc.).
2,480 benign and 5,429 malignant annotated histophatology dataset of cancer breast tissue from 82 patients
using different magnifying factors (40X, 100X, 200X, and 400X)
