Generalized deep learning for histopathology image classification using supervised contrastive learning
HistopathAI offers a robust tool for histopathology image classification, enhancing diagnostic accuracy and supporting the transition to digital pathology. This framework has the potential to improve cancer diagnosis and patient outcomes, paving the way for broader clinical application. The code is available on https://github.com/Mamunur-20/HistopathAI.
Authors
- Erik Meijering (ORCID: https://orcid.org/0000-0001-8015-8358)
- Ewan K.A. Millar (ORCID: https://orcid.org/0000-0002-9778-3253)
- Md Mamunur Rahaman (ORCID: https://orcid.org/0000-0003-2268-2092)
Institutions
- New South Wales Department of Health (AU)
- UNSW Sydney (AU)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1016/j.jare.2024.11.013
- Citations
- 6
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.08
Funders
- National Computational Infrastructure
- MTPConnect
- National Cancer Institute