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Computer-Aided Assessment of Tumor Grade for Breast Cancer in Ultrasound Images., , and . Comput. Math. Methods Medicine, (2015)Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine., and . Comput. Medical Imaging Graph., (2021)Three Comparative Approaches for Breast Density Estimation in Digital and Screen Film Mammograms., , , , , , , , and . EMBC, page 4853-4856. IEEE, (2006)Breast Tumor Segmentation Based on Level-Set Method in 3D Sonography., , and . IMIS, page 637-640. IEEE Computer Society, (2013)Analysis of Tumor Vascularity Using Three-Dimensional Power Doppler Ultrasound Images., , , , , and . IEEE Trans. Med. Imaging, 27 (3): 320-330 (2008)Breast Ultrasound Image Classification Using Fractal Analysis., , , , and . BIBE, page 100-107. IEEE Computer Society, (2004)Breast cancer diagnosis using image retrieval for different ultrasonic systems., , and . ICIP, page 2957-2960. IEEE, (2004)Accuracy validation of adjuvant! online in Taiwanese breast cancer patients - a 10-year analysis., , and . BMC Medical Informatics Decis. Mak., (2012)Neural Network Diagnosis System for 3-Dimensional Ultrasonography with Gabor Filter Aided Speckle Decorrelation., , , , and . BMEI (2), page 193-197. IEEE Computer Society, (2008)978-0-7695-3118-2.Breast Density Analysis in 3-D Whole Breast Ultrasound Images., , , , , , , , and . EMBC, page 2795-2798. IEEE, (2006)