Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network
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Jiawei Li | Xuelong Li | Longzhong Liu | Qinghua Huang | Zhaoji Miao | Xuelong Li | Qinghua Huang | Longzhong Liu | Jiawei Li | Zhaoji Miao
[1] A. Jemal,et al. Cancer treatment and survivorship statistics, 2016 , 2016, CA: a cancer journal for clinicians.
[2] Qinghua Huang,et al. Breast ultrasound image segmentation: a survey , 2017, International Journal of Computer Assisted Radiology and Surgery.
[3] Dacheng Tao,et al. On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification , 2020, IEEE Transactions on Knowledge and Data Engineering.
[4] Yanning Zhang,et al. EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images , 2019, Neurocomputing.
[5] Jie Zhu,et al. Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image , 2013, Biomed. Signal Process. Control..
[6] Ayman Eldeib,et al. Breast Cancer Classification in Ultrasound Images using Transfer Learning , 2019, 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME).
[7] Comparison of automated breast ultrasonography to handheld ultrasonography in detecting and diagnosing breast lesions , 2016, Acta radiologica.
[8] Ellen Warner,et al. Surveillance of BRCA1 and BRCA2 mutation carriers with magnetic resonance imaging, ultrasound, mammography, and clinical breast examination , 2004, JAMA.
[9] Dar-Ren Chen,et al. Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines , 2006, Neural Computing & Applications.
[10] Xuelong Li,et al. A new breast tumor ultrasonography CAD system based on decision tree and BI-RADS features , 2017, World Wide Web.
[11] Xiao Liu,et al. Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset , 2016, Neurocomputing.
[12] A. Jemal,et al. Cancer statistics, 2017 , 2017, CA: a cancer journal for clinicians.
[13] E. Sedgwick. The breast ultrasound lexicon: breast imaging reporting and data system (BI-RADS). , 2011, Seminars in roentgenology.
[14] W. Svensson,et al. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses. , 2012, Radiology.
[15] Ling Zhang,et al. Automated breast cancer detection and classification using ultrasound images: A survey , 2015, Pattern Recognit..
[16] Xuelong Li,et al. Exploiting Local Coherent Patterns for Unsupervised Feature Ranking , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] Fan Zhang,et al. Evolutionary optimized fuzzy reasoning with mined diagnostic patterns for classification of breast tumors in ultrasound , 2019, Inf. Sci..
[18] Dacheng Tao,et al. Bi-Phase Evolutionary Searching for Biclusters in Gene Expression Data , 2019, IEEE Transactions on Evolutionary Computation.
[19] Pedro H. Bugatti,et al. Breast cancer diagnosis through active learning in content-based image retrieval , 2019, Neurocomputing.
[20] Kee-Eung Kim,et al. An Improved Particle Filter With a Novel Hybrid Proposal Distribution for Quantitative Analysis of Gold Immunochromatographic Strips , 2019, IEEE Transactions on Nanotechnology.
[21] Madhavi Raghu,et al. Tomosynthesis in the Diagnostic Setting: Changing Rates of BI-RADS Final Assessment over Time. , 2016, Radiology.