Login

Christer Busch

ORCID: 0000-0002-9603-1738
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
A5102830041
Research Areas
  • Prostate Cancer Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection

Uppsala University Hospital
 2024

 Robust, credible, and interpretable AI-based histopathological prostate cancer grading
OPENALEX - Publications 
Fabian Westhaeusser Patrick Fuhlert Esther Dietrich Maximilian Lennartz Robin Khatri and 21 more Nico Kaiser Pontus Röbeck Roman D. Bülow Saskia von Stillfried Anja Witte Sam Ladjevardi Anders Drotte Peter Severgardh Jan Baumbach Victor G. Puelles Michael Häggman Michael Brehler Peter Boor Peter Walhagen Anca Dragomir Christer Busch Markus Graefen Ewert Bengtsson Guido Sauter Marina Zimmermann Stefan Bonn

Prostate cancer (PCa) is among the most common cancers in men and its diagnosis requires histopathological evaluation of biopsies by human experts. While several recent artificial intelligence-based (AI) approaches have reached expert-level PCa grading, they often display significantly reduced performance on external datasets. This can be caused variations sample preparation, for instance staining protocol, section thickness, or scanner used. Another limiting factor contemporary AI-based...

10.1101/2024.07.09.24310082 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2024-07-10
Coming Soon ...