Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literature

Abstract

Key points Several limitations exist with current methods of automatic prostate segmentation. There is wide variability of databases, imaging tasks and assessment criteria. No preferred methodology for prostate zonal segmentation methodology and terminology was used. Vast majority of papers share common methodological flaws discussed in this review.

Keywords

• Artificial intelligence
• Deep learning
• Magnetic resonance imaging
• Prostate cancer