Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review.

ABSTRACT: Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on monitors and process them with AI algorithms. Many articles have focused on DL applied to prostate cancer (PCa). This systematic review explains the DL applications and their performances for PCa in digital pathology. Article research was performed using PubMed and Embase to collect relevant articles. A Risk of Bias (RoB) was assessed with an adaptation of the QUADAS-2 tool. Out of the 77 included studies, eight focused on pre-processing tasks such as quality assessment or staining normalization. Most articles (n = 53) focused on diagnosis tasks like cancer detection or Gleason grading. Fifteen art

SUBMITTER: Rabilloud N 

PROVIDER: S-EPMC10453406 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature