Weakly supervised large-scale pancreatic cancer detection using multi-instance learning
The proposed two-stage deep learning architecture shows significantly enhanced performance for predicting the presence of a tumor in the pancreas using CT images compared with other reported studies in the literature.
Authors
- Shyamapada Mandal (ORCID: https://orcid.org/0000-0002-9488-3523)
- David Kwon (ORCID: https://orcid.org/0000-0003-2673-3758)
- Hariprasad Kodamana (ORCID: https://orcid.org/0000-0003-3166-2712)
- Anurag Singh Rathore (ORCID: https://orcid.org/0000-0002-5913-4244)
- Chetan Arora (ORCID: https://orcid.org/0000-0003-0155-0250)
- Keerthiveena Balraj
- J. Clark
Institutions
- Henry Ford Health System (US)
- Indian Institute of Technology Delhi (IN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.3389/fonc.2024.1362850
- Citations
- 4
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.13
Funders
- Henry Ford Health System
- Indian Institute of Technology Delhi