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...

Descripción completa

Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Research
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

Internet

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

Ejemplares similares