114 related articles for article (PubMed ID: 29157453)
41. Computer-aided assessment of tumor grade for breast cancer in ultrasound images.
Chen DR; Chien CL; Kuo YF
Comput Math Methods Med; 2015; 2015():914091. PubMed ID: 25810750
[TBL] [Abstract][Full Text] [Related]
42. Interobserver variability of ultrasound elastography: how it affects the diagnosis of breast lesions.
Yoon JH; Kim MH; Kim EK; Moon HJ; Kwak JY; Kim MJ
AJR Am J Roentgenol; 2011 Mar; 196(3):730-6. PubMed ID: 21343520
[TBL] [Abstract][Full Text] [Related]
43. Application of real-time ultrasound elastography for differential diagnosis of breast tumors.
Gong X; Wang Y; Xu P
J Ultrasound Med; 2013 Dec; 32(12):2171-6. PubMed ID: 24277900
[TBL] [Abstract][Full Text] [Related]
44. The adaptive computer-aided diagnosis system based on tumor sizes for the classification of breast tumors detected at screening ultrasound.
Moon WK; Chen IL; Chang JM; Shin SU; Lo CM; Chang RF
Ultrasonics; 2017 Apr; 76():70-77. PubMed ID: 28086107
[TBL] [Abstract][Full Text] [Related]
45. Accuracy of Tumor Sizing in Breast Cancer: A Comparison of Strain Elastography, 3-D Ultrasound and Conventional B-Mode Ultrasound with and without Compound Imaging.
Stachs A; Pandjaitan A; Martin A; Stubert J; Hartmann S; Gerber B; Glass Ä
Ultrasound Med Biol; 2016 Dec; 42(12):2758-2765. PubMed ID: 27600473
[TBL] [Abstract][Full Text] [Related]
46. The Journey of Elastography: Background, Current Status, and Future Possibilities in Breast Cancer Diagnosis.
Faruk T; Islam MK; Arefin S; Haq MZ
Clin Breast Cancer; 2015 Oct; 15(5):313-24. PubMed ID: 25858446
[TBL] [Abstract][Full Text] [Related]
47. New diagnostic criteria in real-time elastography for the assessment of breast lesions.
Adamietz BR; Meier-Meitinger M; Fasching P; Beckmann M; Hartmann A; Uder M; Häberle L; Schulz-Wendtland R; Schwab SA
Ultraschall Med; 2011 Feb; 32(1):67-73. PubMed ID: 21165816
[TBL] [Abstract][Full Text] [Related]
48. B-Mode Ultrasound Combined with Color Doppler and Strain Elastography in the Diagnosis of Non-mass Breast Lesions: A Prospective Study.
Li L; Zhou X; Zhao X; Hao S; Yao J; Zhong W; Zhi H
Ultrasound Med Biol; 2017 Nov; 43(11):2582-2590. PubMed ID: 28844465
[TBL] [Abstract][Full Text] [Related]
49. 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. PubMed ID: 25913281
[TBL] [Abstract][Full Text] [Related]
50. Computerized characterization of breast masses on three-dimensional ultrasound volumes.
Sahiner B; Chan HP; Roubidoux MA; Helvie MA; Hadjiiski LM; Ramachandran A; Paramagul C; LeCarpentier GL; Nees A; Blane C
Med Phys; 2004 Apr; 31(4):744-54. PubMed ID: 15124991
[TBL] [Abstract][Full Text] [Related]
51. Ultrasonic elastography in breast cancer diagnosis: strain ratio vs 5-point scale.
Zhi H; Xiao XY; Yang HY; Ou B; Wen YL; Luo BM
Acad Radiol; 2010 Oct; 17(10):1227-33. PubMed ID: 20650662
[TBL] [Abstract][Full Text] [Related]
52. Elastography ultrasound and questionable breast lesions: does it count?
Mansour SM; Omar OS
Eur J Radiol; 2012 Nov; 81(11):3234-44. PubMed ID: 22591761
[TBL] [Abstract][Full Text] [Related]
53. Breast disease: clinical application of US elastography for diagnosis.
Itoh A; Ueno E; Tohno E; Kamma H; Takahashi H; Shiina T; Yamakawa M; Matsumura T
Radiology; 2006 May; 239(2):341-50. PubMed ID: 16484352
[TBL] [Abstract][Full Text] [Related]
54. Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions.
Kondo S; Satoh M; Nishida M; Sakano R; Takagi K
BMC Med Imaging; 2023 Aug; 23(1):114. PubMed ID: 37644398
[TBL] [Abstract][Full Text] [Related]
55. Breast lesions: quantitative elastography with supersonic shear imaging--preliminary results.
Athanasiou A; Tardivon A; Tanter M; Sigal-Zafrani B; Bercoff J; Deffieux T; Gennisson JL; Fink M; Neuenschwander S
Radiology; 2010 Jul; 256(1):297-303. PubMed ID: 20505064
[TBL] [Abstract][Full Text] [Related]
56. Sonoelastography of breast lesions: a prospective study of 215 cases with histopathological correlation.
Gheonea IA; Donoiu L; Camen D; Popescu FC; Bondari S
Rom J Morphol Embryol; 2011; 52(4):1209-14. PubMed ID: 22203924
[TBL] [Abstract][Full Text] [Related]
57. Diagnostic performance of quantitative shear wave elastography in the evaluation of solid breast masses: determination of the most discriminatory parameter.
Au FW; Ghai S; Moshonov H; Kahn H; Brennan C; Dua H; Crystal P
AJR Am J Roentgenol; 2014 Sep; 203(3):W328-36. PubMed ID: 25148191
[TBL] [Abstract][Full Text] [Related]
58. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses.
Berg WA; Cosgrove DO; Doré CJ; Schäfer FK; Svensson WE; Hooley RJ; Ohlinger R; Mendelson EB; Balu-Maestro C; Locatelli M; Tourasse C; Cavanaugh BC; Juhan V; Stavros AT; Tardivon A; Gay J; Henry JP; Cohen-Bacrie C;
Radiology; 2012 Feb; 262(2):435-49. PubMed ID: 22282182
[TBL] [Abstract][Full Text] [Related]
59. 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. PubMed ID: 23039681
[TBL] [Abstract][Full Text] [Related]
60. Breast lesions: evaluation with shear wave elastography, with special emphasis on the "stiff rim" sign.
Zhou J; Zhan W; Chang C; Zhang X; Jia Y; Dong Y; Zhou C; Sun J; Grant EG
Radiology; 2014 Jul; 272(1):63-72. PubMed ID: 24661245
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]