The data set has 357 histopathological images of normal tissue and for cancer grades G1, G2, and G3, with the 10x magnification level.
They have a similar resolution of 800x600 pixels and are distributed as follows:
62 cases as normal,
96 as G1,
99 as G2 and
100 as G3.
For a more detailed description, please see
Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Corina Lavinia Gruia, SVM-Based Cancer Grading from Histopathological Images using Morphological and Topological Features of Glands and Nuclei, Intelligent Interactive Multimedia Systems and Services, 55, Smart Innovation, Systems and Technologies, Springer, pp. 145-155, 2016.
If you publish material based on the current database, please refer the paper above within the References.
Funding
Research grant no. 26/2014, code PN-II-PT-PCCA-2013-4-1153, entitled IMEDIATREAT - Intelligent Medical Information System for the Diagnosis and Monitoring of the Treatment of Patients with Colorectal Neoplasm - financed by the Romanian Ministry of Nationa