Breast tumor classification using different features of quantitative ultrasound parametric images

被引:0
作者
Soa-Min Hsu
Wen-Hung Kuo
Fang-Chuan Kuo
Yin-Yin Liao
机构
[1] Kuang Tien General Hospital,Department of Radiology
[2] National Taiwan University Hospital,Department of Surgery
[3] Hungkuang University,Department of Physical Therapy
[4] Hungkuang University,Department of Biomedical Engineering
来源
International Journal of Computer Assisted Radiology and Surgery | 2019年 / 14卷
关键词
Breast ultrasound; Morphological features; Texture features; Nakagami parameter; Classification;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:623 / 633
页数:10
相关论文
共 193 条
[1]  
Sehgal CM(2006)A review of breast ultrasound J Mammary Gland Biol Neoplasia 11 113-123
[2]  
Weinstein SP(2002)Newhouse, comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations Radiology 225 165-175
[3]  
Arger PH(1995)Solid breast nodules: use of sonography to distinguish between benign and malignant lesions Radiology 196 123-134
[4]  
Conant EF(2004)Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features IEEE Trans Med Imaging 23 1292-1300
[5]  
Kolb TM(2010)Automated breast cancer detection and classification using ultrasound images: a survey Pattern Recognit 43 299-317
[6]  
Lichy J(2013)Computer-aided diagnosis of breast masses using quantified BI-RADS findings Comput Methods Programs Biomed 111 84-92
[7]  
Newhouse JH(2017)Breast ultrasound image segmentation: a survey Int J Comput Assist Radiol Surg 12 493-507
[8]  
Stavros AT(1999)Benign versus malignant solid breast masses: US differentiation Radiology 213 889-894
[9]  
Thickman D(2015)Computer-aided assessment of tumor grade for breast cancer in ultrasound images Comput Math Methods Med 2015 914091-1498
[10]  
Rapp CL(2001)Stepwise logistic regression analysis of tumor contour features for breast ultrasound diagnosis Ultrasound Med Biol 27 1493-7358