Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [18F]-fluorodeoxyglucose positron emission tomography/computed tomography
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Title
Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [18F]-fluorodeoxyglucose positron emission tomography/computed tomography
Authors
Keywords
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Journal
EUROPEAN RADIOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-05-27
DOI
10.1007/s00330-019-06265-x
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Note: Only part of the references are listed.- The future of radiology augmented with Artificial Intelligence: A strategy for success
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- Nomograms Predicting Progression-Free Survival, Overall Survival, and Pelvic Recurrence in Locally Advanced Cervical Cancer Developed From an Analysis of Identifiable Prognostic Factors in Patients From NRG Oncology/Gynecologic Oncology Group Randomized Trials of Chemoradiotherapy
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- 18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi-Cancer Site Patient Cohort
- (2014) M. Hatt et al. JOURNAL OF NUCLEAR MEDICINE
- Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer
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- (2011) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Intratumoral Metabolic Heterogeneity of Cervical Cancer
- (2008) E. A. Kidd et al. CLINICAL CANCER RESEARCH
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