[1] |
施俊, 王锐玲, 周世崇, 等. 结合乳腺影像报告和数据体系的乳腺超声CAD研究进展[J]. 生物医学工程学杂志, 2010, 27(5): 1169-1172.
|
[2] |
杨玲, 李连弟, 陈肖德, 等. 中国乳腺癌发病死亡趋势的估计与预测[J]. 中华肿瘤杂志, 2006, 28(6): 438-440.
|
[3] |
中国癌症预防与控制规划纲要(2004-2010)[J]. 中国肿瘤, 2004, 13(2): 65-68
|
[4] |
Chang RF, Chang-Chien KC, Takada E, et al. Rapid image stitching and computer-aided detection for multipass automated breast ultrasound [J]. Med Phys, 2010, 37(5): 2063-2073.
|
[5] |
Chen DR, Chien CL, Kuo YF. Computer-aided assessment of tumor grade for breast cancer in ultrasound images [J]. Comput Math Methods Med, 2015: 914091.
|
[6] |
Dean JC, Ilvento CC. Improved cancer detection using computer-aided detection with diagnostic and screening mammography: prospective study of 104 cancers [J]. AJR Am J Roentgenol, 2006, 187(1): 20-28.
|
[7] |
Azavedo E1, Zackrisson S, Mejàre I, et al. Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review [J]. BMC Med Imaging, 2012, 12: 22..
|
[8] |
Padilla F, Roubidoux MA, Paramagul C,et al. Breast mass characterization using 3-dimensional automated ultrasound as an adjunct to digital breast tomosynthesis: a pilot study [J]. J Ultrasound Med, 2013, 32(1): 93-104.
|
[9] |
Gilbert FJ, Astley SM, McGee MA, et al. Single reading with computer-aided detection and double reading of screening mammograms in the United Kingdom National Breast Screening Program [J]. Radiology, 2006, 241(1): 47–53.
|
[10] |
Kim SM1, Han H, Park JM, et al.A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbservervariability [J]. J Digit Imaging, 2012, 25(5): 599-606.
|
[11] |
曹佳颖, 张辉, 王文平, 等. 超声造影和增强CT诊断脾肿瘤的比较研究[J]. 肿瘤影像学, 2015, 24(1): 30-35.
|
[12] |
谢潇, 王跃涛, 刘艳萍, 等. 实时组织弹性成像技术对乳腺实质性病变的诊断价值[J]. 肿瘤影像学, 2015, 24(1): 48-52.
|