These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
120 related articles for article (PubMed ID: 28269184)
1. Breast lesion detection and characterization with 3D features. Sreekumari A; Shriram KS; Vaidya V Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4101-4104. PubMed ID: 28269184 [TBL] [Abstract][Full Text] [Related]
2. 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. PubMed ID: 24694157 [TBL] [Abstract][Full Text] [Related]
3. Deformable mapping technique to correlate lesions in digital breast tomosynthesis and automated breast ultrasound images. Green CA; Goodsitt MM; Brock KK; Davis CL; Larson ED; Lau JH; Carson PL Med Phys; 2018 Oct; 45(10):4402-4417. PubMed ID: 30066340 [TBL] [Abstract][Full Text] [Related]
4. Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts. van Zelst JCM; Tan T; Clauser P; Domingo A; Dorrius MD; Drieling D; Golatta M; Gras F; de Jong M; Pijnappel R; Rutten MJCM; Karssemeijer N; Mann RM Eur Radiol; 2018 Jul; 28(7):2996-3006. PubMed ID: 29417251 [TBL] [Abstract][Full Text] [Related]
5. Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model. Tan T; Gubern-Mérida A; Borelli C; Manniesing R; van Zelst J; Wang L; Zhang W; Platel B; Mann RM; Karssemeijer N Med Phys; 2016 Jul; 43(7):4074. PubMed ID: 27370126 [TBL] [Abstract][Full Text] [Related]
6. Adding 3D automated breast ultrasound to mammography screening in women with heterogeneously and extremely dense breasts: Report from a hospital-based, high-volume, single-center breast cancer screening program. Wilczek B; Wilczek HE; Rasouliyan L; Leifland K Eur J Radiol; 2016 Sep; 85(9):1554-63. PubMed ID: 27501888 [TBL] [Abstract][Full Text] [Related]
7. 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. PubMed ID: 18072503 [TBL] [Abstract][Full Text] [Related]
8. Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information. Ye C; Vaidya V; Zhao F Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():2865-8. PubMed ID: 25570589 [TBL] [Abstract][Full Text] [Related]
9. Automated breast ultrasound system (ABUS): reproducibility of mass localization, size measurement, and characterization on serial examinations. Chang JM; Cha JH; Park JS; Kim SJ; Moon WK Acta Radiol; 2015 Oct; 56(10):1163-70. PubMed ID: 25280476 [TBL] [Abstract][Full Text] [Related]
10. Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis. Agarwal R; Diaz O; Lladó X; Gubern-Mérida A; Vilanova JC; Martí R Ultrason Imaging; 2018 Mar; 40(2):97-112. PubMed ID: 29182056 [TBL] [Abstract][Full Text] [Related]
11. Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoosts. Kozegar E; Soryani M; Behnam H; Salamati M; Tan T Ultrasonics; 2017 Aug; 79():68-80. PubMed ID: 28448836 [TBL] [Abstract][Full Text] [Related]
12. Three-dimensional automated breast ultrasound: Technical aspects and first results. Vourtsis A Diagn Interv Imaging; 2019 Oct; 100(10):579-592. PubMed ID: 30962169 [TBL] [Abstract][Full Text] [Related]
13. New Fully Automated Method for Segmentation of Breast Lesions on Ultrasound Based on Texture Analysis. Gómez-Flores W; Ruiz-Ortega BA Ultrasound Med Biol; 2016 Jul; 42(7):1637-50. PubMed ID: 27095150 [TBL] [Abstract][Full Text] [Related]
14. Automated Breast Ultrasound Screening for Dense Breasts. Kim SH; Kim HH; Moon WK Korean J Radiol; 2020 Jan; 21(1):15-24. PubMed ID: 31920025 [TBL] [Abstract][Full Text] [Related]
15. 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. PubMed ID: 25766727 [TBL] [Abstract][Full Text] [Related]
16. Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast Tissue. Jiang Y; Inciardi MF; Edwards AV; Papaioannou J AJR Am J Roentgenol; 2018 Aug; 211(2):452-461. PubMed ID: 29792747 [TBL] [Abstract][Full Text] [Related]
17. 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. PubMed ID: 25832040 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Automatic breast ultrasound (ABUS) tumor segmentation based on global and local feature fusion. Li Y; Ren Y; Cheng Z; Sun J; Pan P; Chen H Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38759673 [TBL] [Abstract][Full Text] [Related]
20. Automated Breast Volume Scanning: Identifying 3-D Coronal Plane Imaging Features May Help Categorize Complex Cysts. Wang HY; Jiang YX; Zhu QL; Zhang J; Xiao MS; Liu H; Dai Q; Li JC; Sun Q Ultrasound Med Biol; 2016 Mar; 42(3):689-98. PubMed ID: 26742895 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]