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Abstract 16167: Assessment of Cardiac Rejection Grade via Machine Learning Derived Features From Digital Biopsy Images

Sara ArabYarmohammadi,Andrew Janowczyk,Eliot G Peyster,Sepideh Azarianpour,Priti Lal,Michael Feldman,Kenneth B. Margulies,Anant Madabhushi

Circulation（2019）

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Abstract
Introduction: Cardiac allograft rejection is a serious concern, occurring in 30-40% of patients in the first-year post-transplant and increase risk of graft failure. The international society for h...
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cardiac rejection grade,biopsy,machine learning,features
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