Bin Zheng to ROC Curve
This is a "connection" page, showing publications Bin Zheng has written about ROC Curve.
Connection Strength
1.639
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Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features. Phys Med Biol. 2022 02 21; 67(5).
Score: 0.194
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Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study. Ann Biomed Eng. 2022 Apr; 50(4):413-425.
Score: 0.194
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Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images. J Xray Sci Technol. 2022; 30(2):377-388.
Score: 0.192
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Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model. Sci Rep. 2019 05 13; 9(1):7293.
Score: 0.160
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Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk. Phys Med Biol. 2018 05 15; 63(10):105005.
Score: 0.150
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Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions. Phys Med Biol. 2017 01 21; 62(2):358-376.
Score: 0.136
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Improving lung cancer prognosis assessment by incorporating synthetic minority oversampling technique and score fusion method. Med Phys. 2016 Jun; 43(6):2694-2703.
Score: 0.131
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Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions. Med Phys. 2015 Jul; 42(7):4241-9.
Score: 0.123
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A new and fast image feature selection method for developing an optimal mammographic mass detection scheme. Med Phys. 2014 Aug; 41(8):081906.
Score: 0.115
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Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. Int J Comput Assist Radiol Surg. 2014 Nov; 9(6):1005-20.
Score: 0.112
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Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput Methods Programs Biomed. 2019 Oct; 179:104995.
Score: 0.041
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Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy. Acad Radiol. 2017 10; 24(10):1233-1239.
Score: 0.035
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Feature selection for the automated detection of metaphase chromosomes: performance comparison using a receiver operating characteristic method. Anal Cell Pathol (Amst). 2014; 2014:565392.
Score: 0.029
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Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry. Acad Radiol. 2013 Dec; 20(12):1542-50.
Score: 0.027