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Multiscale Habitat-Based Radiomics and Deep Learning for Preoperative Prediction of Pathological Grade in Pancreatic Cancer

2026-03-10

Abstract excerpt

<title>Abstract</title> <p> Objectives To develop and validate multiscale habitat-based radiomics and deep learning (DL) models from preoperative contrast-enhanced CT for <bold>preoperative prediction of pathological differentiation</bold> in patients with <bold>resectable or borderline resectable pancreatic cancer</bold> undergoing pancreaticoduodenectomy (PD), and to assess model robustness, calibration,...

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Literature Corpus work
cf3a1a4c-20eb-5843-a046-0ff71ad537fb
DOI
10.21203/rs.3.rs-8632411/v1
Open publication

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