AI for diagnosis of prostate cancer: the PANDA challenge

Artificial intelligence (AI) for prostate cancer analysis is ready for clinical implementation, shows a global programming competition, the PANDA challenge.

Improve prostate cancer diagnosis: participate in the PANDA Gleason grading challenge

Can you build a deep learning model that can accurately grade protate biopsies? Participate in the PANDA challenge

The potential of AI in medicine: AI-assistance improves prostate cancer grading

In a completely new study we investigated the possible benefits of an AI system for pathologists. Instead of focussing on pathologist-versus-AI, we instead look at potential pathologist-AI synergy.

Epithelium segmentation using deep learning and immunohistochemistry

We developed a new deep learning method to segment epithelial tissue in digitized hematoxylin and eosin (H&E) stained prostatectomy slides using immunohistochemistry (IHC) as reference standard.

The public PESO dataset: prostate H&E whole-side images for epithelium segmentation

Public dataset of prostatectomy whole-slide images for epithelium segmentation, licensed under a BY-NC-SA Creative Commons license.