前列腺癌
医学
前列腺
人工智能
深度学习
磁共振成像
放射科
医学物理学
机器学习
计算机科学
癌症
内科学
作者
Barış Türkbey,Masoom A. Haider
出处
期刊:British Journal of Radiology
[British Institute of Radiology]
日期:2021-12-03
卷期号:95 (1131)
被引量:30
摘要
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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