Fuzzy knowledge base for diagnosing breast cancer pathological processes

Autor: Tamara Datsko, Lesia Dubchak, Serhiy Verbovyy, Kateryna Berezska
Rok vydání: 2017
Předmět:
Zdroj: 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).
DOI: 10.1109/stc-csit.2017.8098731
Popis: Breast cancer is the most common cancer among women. Histological images are widely used for breast cancer diagnosing. In this research study, the fuzzy system of breast precancerous and cancerous conditions diagnosing is proposed. This system is based on the expert evaluation of histological images and can be used in medical practice.
Databáze: OpenAIRE