Machine learning in prostate MRI for prostate cancer: current status and future opportunities

• Main Authors: Li, Huanye, Lee, Chau Hung, Chia, David, Lin, Zhiping, Huang, Weimin, Tan, Cher Heng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Prostate Magnetic Resonance Imaging; Cancer
• Online Access: https://hdl.handle.net/10356/160624
• Institution: Nanyang Technological University

Advances in our understanding of the role of magnetic resonance imaging (MRI) for the detection of prostate cancer have enabled its integration into clinical routines in the past two decades. The Prostate Imaging Reporting and Data System (PI-RADS) is an established imaging-based scoring system that...