MRI‐based prostate cancer classification using 3D efficient capsule network
Yuheng Li,
Jacob Wynne,
Jing Wang
et al.
Abstract:BackgroundProstate cancer (PCa) is the most common cancer in men and the second leading cause of male cancer‐related death. Gleason score (GS) is the primary driver of PCa risk‐stratification and medical decision‐making, but can only be assessed at present via biopsy under anesthesia. Magnetic resonance imaging (MRI) is a promising non‐invasive method to further characterize PCa, providing additional anatomical and functional information. Meanwhile, the diagnostic power of MRI is limited by qualitative or, at … Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.