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Review
. 2022 Mar 1;95(1131):20210563.
doi: 10.1259/bjr.20210563. Epub 2021 Dec 3.

Deep learning-based artificial intelligence applications in prostate MRI: brief summary

Baris Turkbey  1 , Masoom A Haider  2   3   4
Affiliations
Review

Deep learning-based artificial intelligence applications in prostate MRI: brief summary

Baris Turkbey et al. Br J Radiol. .

Abstract

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.

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Figures

Figure 1.
Figure 1.
Artificial intelligence development methods currently in use.
See this image and copyright information in PMC

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