L’intelligence artificielle pourrait-elle intervenir dans l’aide au diagnostic des cancers du sein ? – L’exemple de HER2: Could artificial intelligence play a role in breast cancer diagnosis? – The example of HER2.
Apprentissage profond
Artificial intelligence
Breast pathology
Deep learning
Diagnosis
Diagnostic
HER2
Intelligence artificielle
Pathologie mammaire
Journal
Bulletin du cancer
ISSN: 1769-6917
Titre abrégé: Bull Cancer
Pays: France
ID NLM: 0072416
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
entrez:
31
12
2021
pubmed:
1
1
2022
medline:
8
1
2022
Statut:
ppublish
Résumé
HER2 is an important prognostic and predictive biomarker in breast cancer. Its detection makes it possible to define which patients will benefit from a targeted treatment. While assessment of HER2 status by immunohistochemistry in positive vs negative categories is well implemented and reproducible, the introduction of a new "HER2-low" category could raise some concerns about its scoring and reproducibility. We herein described the current HER2 testing methods and the application of innovative machine learning techniques to improve these determinations, as well as the main challenges and opportunities related to the implementation of digital pathology in the up-and-coming AI era.
Identifiants
pubmed: 34969514
pii: S0007-4551(21)00635-4
doi: 10.1016/S0007-4551(21)00635-4
pii:
doi:
Substances chimiques
ERBB2 protein, human
EC 2.7.10.1
Receptor, ErbB-2
EC 2.7.10.1
Types de publication
Journal Article
Review
Langues
fre
Sous-ensembles de citation
IM
Pagination
11S35-11S45Informations de copyright
Copyright © 2021 Société FranÇaise du Cancer. Publié par Elsevier Masson SAS. Tous droits réservés.