The Department of Pathological Anatomy at Sumy State University is proud to announce the publication of a significant scientific article, “An Information-Extreme Algorithm for Universal Nuclear Feature-Driven Automated Classification of Breast Cancer Cells,” in the prestigious international journal Diagnostics (MDPI), which is ranked in the first quartile (Q1) of the Scopus database (https://www.mdpi.com/2075-4418/15/11/1389).
This publication is a prime example of successful and fruitful international cooperation between Sumy State University and the University of Liverpool (UK) within the framework of the “Twinning project” unity initiative. Special thanks are extended to Professor Sarah E. Coupland from the University of Liverpool, a co-author of this work and a co-supervisor of the department’s PhD student, Ruslana Lachtaryna. Professor Roman Moskalenko, Head of the Department, also served as a co-supervisor and co-author of the article, emphasizing the depth of academic interaction.
The article focuses on the development and testing of an innovative information-extreme algorithm for the automated classification of breast cancer cells. This algorithm, based on the analysis of universal nuclear features, offers an objective and computationally efficient alternative to traditional histopathological diagnosis methods. The obtained results demonstrate the high effectiveness of the developed system, opening new prospects for more accurate and faster diagnosis of oncological diseases.
This landmark event not only confirms the high scientific potential of our researchers but also demonstrates the importance of international partnerships in achieving breakthroughs in medicine and technology.
