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Cancers|March 28, 2025
Diagnostic Performance of Combined Conventional CT Imaging Features and Radiomics Signature in Differentiating Grade 1 Tumors from Higher-Grade Pancreatic Neuroendocrine NeoplasmsFlorent Tixier, Felipe Lopez-Ramirez, Alejandra Blanco, et al.
Abdominal Radiology (New York)|December 15, 2023
Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuraciesSatomi Kawamoto, Zhuotun Zhu, Linda C Chu, et al.
AJR. American Journal of Roentgenology|September 1, 2021
CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal AdenocarcinomaSeyoun Park, Jonathan G Sham, Satomi Kawamoto, et al.
AJR. American Journal of Roentgenology|April 24, 2019
Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic TissueLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
Abdominal Radiology (New York)|September 13, 2022
Classification of pancreatic cystic neoplasms using radiomic feature analysis is equivalent to an experienced academic radiologist: a step toward computer-augmented diagnostics for radiologistsLinda C Chu, Seyoun Park, Sahar Soleimani, et al.
Cancer Research|March 24, 2026
Hyperplasia Functions as a Link Between Obesity and CancerSophie Pénisson, Maren Weischer, Lu Li, et al.
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