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Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET
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 learning and ra...
Autores principales: | Leung, Kevin H., Rowe, Steven P., Leal, Jeffrey P., Ashrafinia, Saeed, Sadaghiani, Mohammad S., Chung, Hyun Woo, Dalaie, Pejman, Tulbah, Rima, Yin, Yafu, VanDenBerg, Ryan, Werner, Rudolf A., Pienta, Kenneth J., Gorin, Michael A., Du, Yong, Pomper, Martin G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800682/ https://www.ncbi.nlm.nih.gov/pubmed/36580220 http://dx.doi.org/10.1186/s13550-022-00948-1 |
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