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 Mukherjee, Panagiotis Korfiatis, Nandakumar G. Patnam, Kamaxi H. Trivedi, Aashna Karbhari, Garima Suman, Joel G. Fletcher, Ajit H. Goenka

Research output: Contribution to journalArticlepeer-review

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Medicine & Life Sciences