Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET

Abstract Background Accurate classification of sites of interest on prostate-specific membrane antigen (PSMA) positron emission tomography (PET) images is an important diagnostic requirement for the differentiation of prostate cancer (PCa) from foci of physiologic uptake. We developed a deep learnin...

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Bibliographic Details

Published in:	EJNMMI Research
Main Authors:	Kevin H. Leung, Steven P. Rowe, Jeffrey P. Leal, Saeed Ashrafinia, Mohammad S. Sadaghiani, Hyun Woo Chung, Pejman Dalaie, Rima Tulbah, Yafu Yin, Ryan VanDenBerg, Rudolf A. Werner, Kenneth J. Pienta, Michael A. Gorin, Yong Du, Martin G. Pomper
Format:	Article
Language:	English
Published:	SpringerOpen 2022-12-01
Subjects:	PSMA-RADS PSMA PET Deep learning Classification t-SNE Prostate cancer
Online Access:	https://doi.org/10.1186/s13550-022-00948-1