PatchSorter: a high throughput deep learning digital pathology tool for object labeling.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 38902336.
- Also identified by DOI 10.1038/s41746-024-01150-4 and PMC identifier 11190251.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source labeling tool, PatchSorter, which integrates deep learning with an intuitive web interface. Using >100,000 objects, we demonstrate a >7x improvement in labels per second over unaided labeling, with minimal impact on labeling accuracy, thus enabling high-throughput labeling of large datasets.