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Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer
2024·3 Zitationen·JCO Clinical Cancer Informatics
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Zitationen
13
Autoren
2024
Jahr
Abstract
Deep-transfer-learning-based NLP model of serial CT reports can predict the survival of patients with pancreatic cancer. Clinical decisions can be supported by the developed model, with survival information extracted solely from serial radiology reports.
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Autoren
Institutionen
Themen
Pancreatic and Hepatic Oncology ResearchRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education