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Items: 1 to 20 of 119

1.

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
2.

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. Epub 2014 Apr 3.

PMID:
24718570
3.

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. Epub 2012 Dec 10.

PMID:
23232413
4.

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
5.

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
6.

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
7.

Quantitative analysis of breast echotexture patterns in automated breast ultrasound images.

Chang RF, Hou YL, Lo CM, Huang CS, Chen JH, Kim WH, Chang JM, Bae MS, Moon WK.

Med Phys. 2015 Aug;42(8):4566-78. doi: 10.1118/1.4923754.

PMID:
26233185
8.

Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.

Sahiner B, Chan HP, Hadjiiski LM, Helvie MA, Wei J, Zhou C, Lu Y.

Med Phys. 2012 Jan;39(1):28-39. doi: 10.1118/1.3662072.

9.

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
10.

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.

11.

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. Epub 2013 May 16.

PMID:
23693128
12.

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
13.

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. Epub 2015 Mar 11.

PMID:
25766727
14.

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. Epub 2012 Sep 10.

PMID:
22975038
15.

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
16.

Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging.

Chen JH, Lee YW, Chan SW, Yeh DC, Chang RF.

Ultrasound Med Biol. 2016 May;42(5):1211-20. doi: 10.1016/j.ultrasmedbio.2015.12.015. Epub 2016 Jan 28.

PMID:
26831342
17.

Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach.

Singh S, Tourassi GD, Baker JA, Samei E, Lo JY.

Med Phys. 2008 Aug;35(8):3626-36.

18.

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. Epub 2016 Jan 26.

PMID:
26825468
19.

Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study.

Skaane P, Gullien R, Eben EB, Sandhaug M, Schulz-Wendtland R, Stoeblen F.

Acta Radiol. 2015 Apr;56(4):404-12. doi: 10.1177/0284185114528835. Epub 2014 Mar 28.

PMID:
24682405
20.

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. Epub 2012 Jan 16.

PMID:
22271831

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