Comparative Analysis of Artificial Intelligence Algorithms for Breast Cancer Detection from Pathological Image in Burkina Faso.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Artificial Intelligence (AI) has revolutionized many fields, including medical imaging. This revolution has enabled the digitization of medical images, the development of algorithms allowing the use of data captured in natural language, and deep learning, enabling the development of algorithms for automatic processing of medical images from massive medical data. In Burkina Faso, early and accurate detection of breast cancer is a significant challenge due to limited resources and lack of specialized expertise. In this article, we examine the effectiveness of different artificial intelligence algorithms for breast cancer detection from pathological image.

Authors

  • Thomas Alassane Ouattara
    Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
  • Seydou Golo Barro
    Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
  • Pascal Staccini
    IRIS Department, URE RETINES, Faculté de Médecine, Université Côte d'Azur, France.