The following are public repositories developed in my team. Link to scientific publications are added when available.
The following are stand-alone algorithms, running on the grand-challenge.org platform in the form of applications, which we made publicly available to the scientific community to try out our models without having to run any code. Users can upload images via the user interface, or interact with algorithms via Python code using the grand-challenge API. Contact me if you have any questions: francesco.ciompi@radboudumc.nl
Handy tool to combine multiple whole-slide images into a single "packed" one. [algorithm]
Multi-class liver tissue segmentation with colorectal cancer metastases. [algorithm]
Pre-reading of polyps and colon biopsies to reduce screening-based pathology workload.
[algorithm]
Pre-reading of uterine cervix tissue to aid pathologists and reduce screening-based workload. [algorithm]
AI tool to support diagnosis of celiac disease via analysis of duodenal biopsies. [algorithm]
francescociompi.com | 2024