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

被引：0
|
作者：
Sovanlal Mukherjee
Panagiotis Korfiatis
Nandakumar G. Patnam
Kamaxi H. Trivedi
Aashna Karbhari
Garima Suman
Joel G. Fletcher
Ajit H. Goenka
机构：
[1] Mayo Clinic,Divisions of Abdominal and Nuclear Imaging, Nuclear Radiology Fellowship, Nuclear Radiology Research Operations, Enterprise PET/MR Research and Development, Department of Radiology
来源：
Abdominal Radiology | 2024年 / 49卷
关键词：
Pancreas; Machine-learning; Radiomics; Pancreatic ductal carcinoma; X-ray computed tomography;
D O I：
暂无
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学科分类号：
摘要：
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页码：964 / 974
页数：10
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