Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods.
Sovanlal MukherjeePanagiotis KorfiatisNandakumar G PatnamKamaxi H TrivediAashna KarbhariGarima SumanJoel G FletcherAjit H GoenkaPublished in: Abdominal radiology (New York) (2024)
The model's high performance for detection of visually occult PDA was robust within a broad range of clinically relevant variations in image acquisition and radiomics workflow.