Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.

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http://www.wikidata.org/entity/Q38975066
Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners.Limits of radiomic-based entropy as a surrogate of tumor heterogeneity: ROI-area, acquisition protocol and tissue site exert substantial influence.Rethinking the role of clinical imagingRadiomics based analysis to predict local control and survival in hepatocellular carcinoma patients treated with volumetric modulated arc therapy.Radiomic analysis in contrast-enhanced CT: predict treatment response to chemoradiotherapy in esophageal carcinoma.Radiomics and radiogenomics for precision radiotherapy.Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response.Exploring Applications of Radiomics in Magnetic Resonance Imaging of Head and Neck Cancer: A Systematic Review.Radiomic analysis in T2W and SPAIR T2W MRI: predict treatment response to chemoradiotherapy in esophageal squamous cell carcinoma.Radiomic analysis using contrast-enhanced CT: predict treatment response to pulsed low dose rate radiotherapy in gastric carcinoma with abdominal cavity metastasis.Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenomaApplication of Radiomics and Decision Support Systems for Breast MR Differential DiagnosisMachine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics ChallengesCorrelation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancerComputed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: A pilot study
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Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.

Item
http://www.wikidata.org/entity/Q38975066
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年學術文章
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2017年學術文章
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2017年學術文章
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Promises and challenges for th ...... aging (radiomics) in oncology.
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Promises and challenges for th ...... aging (radiomics) in oncology.
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Promises and challenges for th ...... aging (radiomics) in oncology.
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Promises and challenges for th ...... maging (radiomics) in oncology
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P2093
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P356
P433
P478
P50
P577
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