Aggressiveness classification of clear cell renal cell carcinoma using registration‐independent radiology‐pathology correlation learning
CorrFABR provides a novel method for CT-based aggressiveness classification of ccRCC by enabling the identification of pathology-informed CT biomarkers, and integrating them with clinical variables. CorrFABR enables learning of these pathology-informed CT biomarkers through a novel registration-independent correlation learning module that considers unaligned radiology and pathology images at widely varying image resolutions.
Authors
- Indrani Bhattacharya
- Karin Stacke (ORCID: https://orcid.org/0000-0003-1066-3070)
- Emily Chan (ORCID: https://orcid.org/0000-0002-7290-4004)
- Mirabela Rusu (ORCID: https://orcid.org/0000-0002-0372-0367)
- Geoffrey A. Sonn (ORCID: https://orcid.org/0000-0002-0850-1956)
- James D. Brooks (ORCID: https://orcid.org/0000-0002-8395-7494)
- Justin R. Tse (ORCID: https://orcid.org/0000-0003-2408-3763)
- Jeong Hoon Lee (ORCID: https://orcid.org/0000-0002-0778-7585)
- Tie Liang
Institutions
- Linköping University (SE)
- Sectra (Sweden) (SE)
- Stanford University (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1002/mp.17476
- Citations
- 9
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- Foundation for the National Institutes of Health
- Linköpings Universitet
- National Institutes of Health
- School of Medicine, Stanford University
- National Cancer Institute