Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patients
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Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.
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Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patients
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 31 May 2016
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vedecký článok
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vetenskaplig artikel
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Quantitative measurement of ad ...... helial ovarian cancer patients
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Quantitative measurement of ad ...... elial ovarian cancer patients.
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Quantitative measurement of ad ...... helial ovarian cancer patients
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Quantitative measurement of ad ...... elial ovarian cancer patients.
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Quantitative measurement of ad ...... helial ovarian cancer patients
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Quantitative measurement of ad ...... elial ovarian cancer patients.
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Quantitative measurement of ad ...... helial ovarian cancer patients
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Kathleen Moore
Scott McMeekin
Theresa Thai
Yunzhi Wang
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10.3892/OL.2016.4648
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2016-05-31T00:00:00Z