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

Artificial Intelligence Artificial Intelligence Algorithms Breast Cancer Detection Burkina Faso Medical Imaging Pathological Imaging

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
22 Aug 2024
Historique:
medline: 23 8 2024
pubmed: 23 8 2024
entrez: 23 8 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 39176824
pii: SHTI240496
doi: 10.3233/SHTI240496
doi:

Types de publication

Journal Article Comparative Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

645-649

Auteurs

Thomas Alassane Ouattara (TA)

Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
Center for Training and Research in Medical Technology (CFRTM), Burkina Faso.
RETINES/University Côte d'Azur, France.

Seydou Golo Barro (SG)

Nazi Boni University, Bobo-Dioulasso, Burkina Faso.
Center for Training and Research in Medical Technology (CFRTM), Burkina Faso.
RETINES/University Côte d'Azur, France.

Pascal Staccini (P)

RETINES/University Côte d'Azur, France.

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Classifications MeSH