Deep learning-based artificial intelligence applications in prostate MRI: brief summary.
Journal
The British journal of radiology
ISSN: 1748-880X
Titre abrégé: Br J Radiol
Pays: England
ID NLM: 0373125
Informations de publication
Date de publication:
01 Mar 2022
01 Mar 2022
Historique:
pubmed:
4
12
2021
medline:
26
2
2022
entrez:
3
12
2021
Statut:
ppublish
Résumé
Prostate cancer (PCa) is the most common cancer type in males in the Western World. MRI has an established role in diagnosis of PCa through guiding biopsies. Due to multistep complex nature of the MRI-guided PCa diagnosis pathway, diagnostic performance has a big variation. Developing artificial intelligence (AI) models using machine learning, particularly deep learning, has an expanding role in radiology. Specifically, for prostate MRI, several AI approaches have been defined in the literature for prostate segmentation, lesion detection and classification with the aim of improving diagnostic performance and interobserver agreement. In this review article, we summarize the use of radiology applications of AI in prostate MRI.
Identifiants
pubmed: 34860562
doi: 10.1259/bjr.20210563
pmc: PMC8978238
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
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