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Zheng, Bin
One or more keywords matched the following items that are connected to Zheng, Bin
Item TypeName
Concept ROC Curve
Academic Article Feature selection for the automated detection of metaphase chromosomes: performance comparison using a receiver operating characteristic method.
Academic Article Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.
Academic Article Improving lung cancer prognosis assessment by incorporating synthetic minority oversampling technique and score fusion method.
Academic Article Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.
Academic Article Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.
Academic Article A new and fast image feature selection method for developing an optimal mammographic mass detection scheme.
Academic Article Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions.
Academic Article Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Academic Article Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions.
Academic Article Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk.
Academic Article Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model.
Academic Article Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images.
Academic Article Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study.
Academic Article Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features.
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