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Items: 1 to 20 of 491

1.

Automated 3D ultrasound image segmentation to aid breast cancer image interpretation.

Gu P, Lee WM, Roubidoux MA, Yuan J, Wang X, Carson PL.

Ultrasonics. 2016 Feb;65:51-8. doi: 10.1016/j.ultras.2015.10.023. Epub 2015 Oct 31.

PMID:
26547117
2.

Quantitative Ultrasound Comparison of MAT and 4T1 Mammary Tumors in Mice and Rats Across Multiple Imaging Systems.

Wirtzfeld LA, Ghoshal G, Rosado-Mendez IM, Nam K, Park Y, Pawlicki AD, Miller RJ, Simpson DG, Zagzebski JA, Oelze ML, Hall TJ, O'Brien WD Jr.

J Ultrasound Med. 2015 Aug;34(8):1373-83. doi: 10.7863/ultra.34.8.1373.

3.

Ultrasound imaging of breast tumor perfusion and neovascular morphology.

Hoyt K, Umphrey H, Lockhart M, Robbin M, Forero-Torres A.

Ultrasound Med Biol. 2015 Sep;41(9):2292-302. doi: 10.1016/j.ultrasmedbio.2015.04.016. Epub 2015 Jun 24.

PMID:
26116159
4.

Estimation and imaging of breast lesions using a two-layer tissue structure by ultrasound-guided optical tomography.

Xu Y, Zhu Q.

J Biomed Opt. 2015 Jun;20(6):066002. doi: 10.1117/1.JBO.20.6.066002.

PMID:
26046722
5.

Adding Ultrasound to the Evaluation of Patients with Pathologic Nipple Discharge to Diagnose Additional Breast Cancers: Preliminary Data.

Yoon H, Yoon JH, Kim EK, Moon HJ, Park BW, Kim MJ.

Ultrasound Med Biol. 2015 Aug;41(8):2099-107. doi: 10.1016/j.ultrasmedbio.2015.03.029. Epub 2015 May 4.

PMID:
25952162
6.

Bimodal Multiparameter-Based Approach for Benign-Malignant Classification of Breast Tumors.

Ara SR, Alam F, Rahman MH, Akhter S, Awwal R, Hasan K.

Ultrasound Med Biol. 2015 Jul;41(7):2022-38. doi: 10.1016/j.ultrasmedbio.2015.01.023. Epub 2015 Apr 23.

PMID:
25913281
7.

Robust phase-based texture descriptor for classification of breast ultrasound images.

Cai L, Wang X, Wang Y, Guo Y, Yu J, Wang Y.

Biomed Eng Online. 2015 Mar 24;14:26. doi: 10.1186/s12938-015-0022-8.

8.

Comparing different ultrasound imaging methods for breast cancer detection.

Ozmen N, Dapp R, Zapf M, Gemmeke H, Ruiter NV, van Dongen KW.

IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Apr;62(4):637-46. doi: 10.1109/TUFFC.2014.006707.

PMID:
25881342
9.

Whole Breast Ultrasound: Comparison of the Visibility of Suspicious Lesions with Automated Breast Volumetric Scanning Versus Hand-Held Breast Ultrasound.

Kuzmiak CM, Ko EY, Tuttle LA, Steed D, Zeng D, Yoon SC.

Acad Radiol. 2015 Jul;22(7):870-9. doi: 10.1016/j.acra.2015.03.006. Epub 2015 Apr 11.

PMID:
25872862
10.

Quantification of Microvascular Tortuosity during Tumor Evolution Using Acoustic Angiography.

Shelton SE, Lee YZ, Lee M, Cherin E, Foster FS, Aylward SR, Dayton PA.

Ultrasound Med Biol. 2015 Jul;41(7):1896-904. doi: 10.1016/j.ultrasmedbio.2015.02.012. Epub 2015 Apr 7.

PMID:
25858001
11.

Intensity-Invariant Texture Analysis for Classification of BI-RADS Category 3 Breast Masses.

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

Ultrasound Med Biol. 2015 Jul;41(7):2039-48. doi: 10.1016/j.ultrasmedbio.2015.03.003. Epub 2015 Apr 2.

PMID:
25843514
12.

Differentiation of Breast Lesions by Use of HyperSPACE: Hyper-Spectral Analysis for Characterization in Echography.

Granchi S, Vannacci E, Biagi E, Masotti L.

Ultrasound Med Biol. 2015 Jul;41(7):1967-80. doi: 10.1016/j.ultrasmedbio.2015.02.014. Epub 2015 Mar 31.

PMID:
25840476
13.

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
14.

[Use of BI-RADS to interpret magnetic resonance mammography for breast cancer].

Kharuzhyk SA, Shimanets SV, Karman AV, Shapoval EV.

Vestn Rentgenol Radiol. 2014 Jul-Aug;(4):46-59. Review. Russian.

PMID:
25775888
15.

[New trends and novel possibilities in the diagnostic imaging of breast cancer].

Bidlek M, Kovács E, Fehér K, Gõdény M.

Magy Onkol. 2015 Mar;59(1):44-55. Epub 2014 Oct 13. Review. Hungarian.

16.

A Two-Step Segmentation Method for Breast Ultrasound Masses Based on Multi-resolution Analysis.

Rodrigues R, Braz R, Pereira M, Moutinho J, Pinheiro AM.

Ultrasound Med Biol. 2015 Jun;41(6):1737-48. doi: 10.1016/j.ultrasmedbio.2015.01.012. Epub 2015 Feb 27.

PMID:
25736608
17.

Influence of various breast factors on the quality of strain elastograms.

Song G, Jing L, Yan M, Cong S, Xuejiao W.

J Ultrasound Med. 2015 Mar;34(3):395-400. doi: 10.7863/ultra.34.3.395.

18.

Hybrid algorithm for elastography to visualize both solid and fluid-filled lesions.

Nahiyan A, Hasan MK.

Ultrasound Med Biol. 2015 Apr;41(4):1058-78. doi: 10.1016/j.ultrasmedbio.2014.11.007. Epub 2015 Feb 17.

PMID:
25701523
19.

Automated breast volume scanning versus conventional ultrasound in breast cancer screening.

Xiao Y, Zhou Q, Chen Z.

Acad Radiol. 2015 Mar;22(3):387-99. doi: 10.1016/j.acra.2014.08.013. Epub 2015 Jan 22.

PMID:
25620036
20.

Training and standards for performance, interpretation, and structured reporting for supplemental breast cancer screening.

Mendelson EB, Berg WA.

AJR Am J Roentgenol. 2015 Feb;204(2):265-8. doi: 10.2214/AJR.14.13794.

PMID:
25615748
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