Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study
This study demonstrates how accessible AutoML algorithms can readily be used in digital pathology to develop diagnostic AI models using whole-slide images. Such models could be used by pathologists to improve diagnostic efficiency.
Authors
- David Beyer (ORCID: https://orcid.org/0000-0002-0573-8413)
- Logan J. T. McLeod (ORCID: https://orcid.org/0000-0003-4528-1523)
- Evan R. DeLancey (ORCID: https://orcid.org/0000-0001-7131-2202)
Institutions
- University of Alberta (CA)
- VicRoads (AU)
- University of Victoria (CA)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-05-14
- DOI
- https://doi.org/10.2196/67457
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00