Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease

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Publication Details

Journal
EBioMedicine
Published
2024-11-13
DOI
https://doi.org/10.1016/j.ebiom.2024.105440
Citations
6
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.43

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article

Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease

Jon N. Marsh, Talin Haritunians, Kathryn Sarullo, Angela Mujukian et al.
6 citations
EBioMedicine
Radiomics and Machine Learning in Medical Imaging
2.43
article

Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease

Jon N. Marsh, Talin Haritunians, Kathryn Sarullo, Angela Mujukian, Liang‐I Kang, Dermot McGovern, Emebet Mengesha, Ta‐Chiang Liu, Thaddeus S. Stappenbeck, S. Joshua Swamidass, Liang Lu, Changqing Ma, Pooja Khonde
article en
6 citations

Abstract

No abstract available for this paper.
EBioMedicineVol. 110
Cedars-Sinai Medical Center (US), Cleveland Clinic (US), Washington University in St. Louis (US), Cleveland Foundation (US)
Leona M. and Harry B. Helmsley Charitable Trust, Cedars-Sinai Medical Center, Hope Center for Neurological Disorders, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Research Resources
Zero hunger
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.43
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Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease — Jon N. Marsh, Talin Haritunians, et al. · EBioMedicine (2024) | TGRS Research Map | TGRS