Leveraging anatomical constraints with uncertainty for pneumothorax segmentation
The integration of domain knowledge in DL models for medical applications has often been underemphasized. Our research underscores the significance of incorporating medical domain knowledge about the location-specific nature of pneumothorax to enhance DL-based lesion segmentation and further bolster clinicians' trust in DL tools. Beyond pneumothorax, our approach is promising for other thoracic conditions that possess location-relevant characteristics.
Authors
- Nguyen Tuan Anh Tran
- Chuan Hong (ORCID: https://orcid.org/0000-0001-7056-9559)
- Nan Liu (ORCID: https://orcid.org/0000-0003-3610-4883)
- Han Yuan (ORCID: https://orcid.org/0000-0002-2674-6068)
- Xinxing Xu
Institutions
- Agency for Science, Technology and Research (SG)
- National University of Singapore (SG)
- Duke University (US)
- Singapore General Hospital (SG)
- Institute of High Performance Computing (SG)
- Duke-NUS Medical School (SG)
Publication Details
- Journal
- Health care science
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/hcs2.119
- Citations
- 7
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- Duke-NUS Medical School