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Items: 1 to 20 of 111

1.

Computer-aided tumor detection based on multi-scale blob detection algorithm in automated breast ultrasound images.

Moon WK, Shen YW, Bae MS, Huang CS, Chen JH, Chang RF.

IEEE Trans Med Imaging. 2013 Jul;32(7):1191-200. doi: 10.1109/TMI.2012.2230403.

PMID:
23232413
2.

Computer-aided multiview tumor detection for automated whole breast ultrasound.

Lo C, Shen YW, Huang CS, Chang RF.

Ultrason Imaging. 2014 Jan;36(1):3-17. doi: 10.1177/0161734613507240.

PMID:
24275536
3.

Tumor detection in automated breast ultrasound images using quantitative tissue clustering.

Moon WK, Lo CM, Chen RT, Shen YW, Chang JM, Huang CS, Chen JH, Hsu WW, Chang RF.

Med Phys. 2014 Apr;41(4):042901. doi: 10.1118/1.4869264.

PMID:
24694157
4.

Multi-dimensional tumor detection in automated whole breast ultrasound using topographic watershed.

Lo CM, Chen RT, Chang YC, Yang YW, Hung MJ, Huang CS, Chang RF.

IEEE Trans Med Imaging. 2014 Jul;33(7):1503-11. doi: 10.1109/TMI.2014.2315206.

PMID:
24718570
5.

Computer-aided detection of cancer in automated 3-D breast ultrasound.

Tan T, Platel B, Mus R, Tabar L, Mann RM, Karssemeijer N.

IEEE Trans Med Imaging. 2013 Sep;32(9):1698-706. doi: 10.1109/TMI.2013.2263389.

PMID:
23693128
6.

Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound.

Tan T, Mordang JJ, van Zelst J, Grivegnée A, Gubern-Mérida A, Melendez J, Mann RM, Zhang W, Platel B, Karssemeijer N.

Med Phys. 2015 Apr;42(4):1498-504. doi: 10.1118/1.4914162.

PMID:
25832040
7.

Computer-aided diagnosis for the classification of breast masses in automated whole breast ultrasound images.

Moon WK, Shen YW, Huang CS, Chiang LR, Chang RF.

Ultrasound Med Biol. 2011 Apr;37(4):539-48. doi: 10.1016/j.ultrasmedbio.2011.01.006.

PMID:
21420580
8.

Rapid image stitching and computer-aided detection for multipass automated breast ultrasound.

Chang RF, Chang-Chien KC, Takada E, Huang CS, Chou YH, Kuo CM, Chen JH.

Med Phys. 2010 May;37(5):2063-73.

PMID:
20527539
9.

Comparison of automated breast ultrasonography to handheld ultrasonography in detecting and diagnosing breast lesions.

Jeh SK, Kim SH, Choi JJ, Jung SS, Choe BJ, Park S, Park MS.

Acta Radiol. 2016 Feb;57(2):162-9. doi: 10.1177/0284185115574872.

PMID:
25766727
10.

Computerized breast mass detection using multi-scale Hessian-based analysis for dynamic contrast-enhanced MRI.

Huang YH, Chang YC, Huang CS, Chen JH, Chang RF.

J Digit Imaging. 2014 Oct;27(5):649-60. doi: 10.1007/s10278-014-9681-4.

11.

Computer-aided classification of breast masses using speckle features of automated breast ultrasound images.

Moon WK, Lo CM, Chang JM, Huang CS, Chen JH, Chang RF.

Med Phys. 2012 Oct;39(10):6465-73. doi: 10.1118/1.4754801.

PMID:
23039681
12.

Development of a fully automatic scheme for detection of masses in whole breast ultrasound images.

Ikedo Y, Fukuoka D, Hara T, Fujita H, Takada E, Endo T, Morita T.

Med Phys. 2007 Nov;34(11):4378-88.

PMID:
18072503
13.

Whole breast lesion detection using naive bayes classifier for portable ultrasound.

Yang MC, Huang CS, Chen JH, Chang RF.

Ultrasound Med Biol. 2012 Nov;38(11):1870-80. doi: 10.1016/j.ultrasmedbio.2012.07.006.

PMID:
22975038
14.

Feasibility Testing: Three-dimensional Tumor Mapping in Different Orientations of Automated Breast Ultrasound.

Lo CM, Chan SW, Yang YW, Chang YC, Huang CS, Jou YS, Chang RF.

Ultrasound Med Biol. 2016 May;42(5):1201-10. doi: 10.1016/j.ultrasmedbio.2015.12.006.

PMID:
26825468
15.

Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information.

Ye C, Vaidya V, Zhao F.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2865-8. doi: 10.1109/EMBC.2014.6944221.

PMID:
25570589
16.

Computer-aided diagnosis based on speckle patterns in ultrasound images.

Moon WK, Lo CM, Huang CS, Chen JH, Chang RF.

Ultrasound Med Biol. 2012 Jul;38(7):1251-61. doi: 10.1016/j.ultrasmedbio.2012.02.029.

PMID:
22579548
17.

Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.

Drukker K, Sennett CA, Giger ML.

Med Phys. 2014 Jan;41(1):012901. doi: 10.1118/1.4837196.

18.

Computer-aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation.

Tan T, Platel B, Huisman H, Sánchez CI, Mus R, Karssemeijer N.

IEEE Trans Med Imaging. 2012 May;31(5):1034-42. doi: 10.1109/TMI.2012.2184549.

PMID:
22271831
19.

Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features.

Joo S, Yang YS, Moon WK, Kim HC.

IEEE Trans Med Imaging. 2004 Oct;23(10):1292-300.

PMID:
15493696
20.

Computer-aided diagnosis with textural features for breast lesions in sonograms.

Chen DR, Huang YL, Lin SH.

Comput Med Imaging Graph. 2011 Apr;35(3):220-6. doi: 10.1016/j.compmedimag.2010.11.003.

PMID:
21131178

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