Implementation of an Intelligent System for Detecting Breast Cancer Cells from Histological Images, and Evaluation of Its Results at CHU Bogodogo.
Authors
Nikiema WC,Ouattara TA,Barro SG,Ouedraogo AS
Affiliations (6)
Affiliations (6)
- Centre Hospitalier Universitaire de Bogodogo (CHUBOGODOGO).
- Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
- Center for Training and Research in Medical Technology (CFRTM).
- RETINES/University Côte d'Azur, France.
- Laboratoire d'Algèbre, de Mathématiques Discrètes et d'Informatique (LAMDI).
- Université Joseph KI-Zerbo, Ouagadougou, Burkina Faso.
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.
Topics
Breast NeoplasmsArtificial IntelligenceImage Interpretation, Computer-AssistedEarly Detection of CancerJournal Article