Reply to a Letter to the Editor on Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review

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Bibliographic Details
Published in:Insights into imaging 2024-02, Vol.15 (1), p.43-43, Article 43
Main Authors: Sushentsev, Nikita, Barrett, Tristan, Rundo, Leonardo
Format: Article
Language:English
Subjects:
Artificial intelligence
Diagnostic Radiology
Imaging
Internal Medicine
Interventional Radiology
Machine learning
Medicine
Medicine & Public Health
Neuroradiology
Opinion
Prostate cancer
Radiology
Ultrasound
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ISSN:1869-4101
1869-4101
DOI:10.1186/s13244-023-01594-4