A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classification
Michael Griffin, Aaron M. Gruver, Chintan Shah, Qasim Wani, Darren Fahy, Archit Khosla, Christian Kirkup, Daniel Borders, Jacqueline A. Brosnan-Cashman, Angie D. Fulford, Kelly M. Credille, Christina Jayson, Fedaa Najdawi, Klaus Gottlieb · 2024
Read A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classification by Michael Griffin, Aaron M. Gruver, Chintan Shah, Qasim Wani, Darren Fahy, Archit Khosla, Christian Kirkup, Daniel Borders, Jacqueline A. Brosnan-Cashman, Angie D. Fulford, Kelly M. Credille, Christina Jayson, Fedaa Najdawi, Klaus Gottlieb (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11612272.txt.
Description
Michael Griffin and co-authors test, in a 2024 study, whether an automated image analysis system can grade celiac disease in gut biopsies consistently. Tissue reading is essential for diagnosing and managing this disease, which damages the small intestine when gluten is eaten. Current scoring systems suffer from poor agreement between pathologists, which can change a patient's label.
The team trained convolutional neural networks on pathologist marked slides. The models learned to identify cells, tissue types, and artifacts in stained biopsies of diseased and normal upper gut lining. Slides came from a large central laboratory, 318 of them with celiac disease. Most trained the models, and the rest were held back for checking. The approach is quantitative and interpretable by design. The authors frame it as a feasibility step toward a shared standard for celiac histology.
Catalog record
| CREATOR | Michael Griffin, Aaron M. Gruver, Chintan Shah, Qasim Wani, Darren Fahy, Archit Khosla, Christian Kirkup, Daniel Borders, Jacqueline A. Brosnan-Cashman, Angie D. Fulford, Kelly M. Credille, Christina Jayson, Fedaa Najdawi, Klaus Gottlieb |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |