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