Cytological Images Clustering of Breast Pathologies
Oleh Berezsky, Oleh Pitsun, Леся Дубчак, Kateryna Berezka, Taras Dolynyuk, Bohdan Derysh · 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT) · 2020
The paper analyzes methods of data clustering. Cytological images of breast cancer were investigated, and nuclei feature of cytological images were calculated. The authors have developed a generalized algorithm for clustering cytological images, which includes the definition of the main features, the calculation of the number of clusters and the K-means algorithm. Computer experiments were conducted using Python computer vision libraries.