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International Journal of Computer Assisted Radiology and Surgery|March 26, 2014
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) modelMaxine Tan, Jiantao Pu, Bin ZhengMedical Physics|August 4, 2014
A new and fast image feature selection method for developing an optimal mammographic mass detection schemeMaxine Tan, Jiantao Pu, Bin ZhengPhysics in Medicine and Biology|July 18, 2014
Reduction of false-positive recalls using a computerized mammographic image feature analysis schemeMaxine Tan, Jiantao Pu, Bin ZhengCancer Informatics|November 14, 2014
Optimization of Network Topology in Computer-Aided Detection Schemes Using Phased Searching with NEAT in a Time-Scaled FrameworkMaxine Tan, Jiantao Pu, Bin ZhengAnnals of Biomedical Engineering|April 9, 2015
Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer RiskMaxine Tan, Jiantao Pu, Samuel Cheng, et al.Physics in Medicine and Biology|May 19, 2015
A new approach to develop computer-aided detection schemes of digital mammogramsMaxine Tan, Wei Qian, Jiantao Pu, et al.Academic Radiology|February 10, 2009
Improving performance of computer-aided detection scheme by combining results from two machine learning classifiersSang Cheol Park, Jiantao Pu, Bin ZhengMedical Physics|April 4, 2008
An ellipse-fitting based method for efficient registration of breast masses on two mammographic viewsJiantao Pu, Bin Zheng, Joseph Ken Leader, et al.Physics in Medicine and Biology|December 21, 2016
Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesionsMaxine Tan, Faranak Aghaei, Yunzhi Wang, et al.Academic Radiology|November 9, 2013
Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetryMaxine Tan, Bin Zheng, Pandiyarajan Ramalingam, et al.Pageof 188