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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

2024Abdominal Radiology21 citationsDOIOpen Access PDF

Topics & Concepts

Artificial intelligencePixelResamplingImage segmentationReceiver operating characteristicVoxelImage noiseComputer visionNuclear medicineMedicineMathematicsPattern recognition (psychology)SegmentationComputer scienceInternal medicineImage (mathematics)Pancreatic and Hepatic Oncology ResearchRadiomics and Machine Learning in Medical ImagingAI in cancer detection
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 | Litcius