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Updated: Jul 5, 2026

Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
Published on: April 23, 2021
Implementation of an Intelligent System for Detecting Breast Cancer Cells from Histological Images, and Evaluation of
Wend-Yam Carine Nikiema1, Thomas Alassane Ouattara2,3,4,5, Seydou Golo Barro2,3,4,5
1Centre Hospitalier Universitaire de Bogodogo (CHUBOGODOGO).
Abstract:
Early detection of breast cancer is a major challenge in the fight against this disease. Artificial intelligence (AI), particularly through medical imaging, offers promising prospects for improving diagnostic accuracy. This article focuses on evaluating the effectiveness of an intelligent electronic system deployed at the CHU of Bogodogo in Burkina Faso, designed to detect breast cancer cells from histological images. The system aims to reduce diagnosis time and enhance screening reliability. The article also discusses the challenges, innovations, and prospects for integrating the system into the conventional laboratory examination process, while considering the associated ethical and technical issues.

