186 related articles for article (PubMed ID: 22149848)
1. The simulation of 3D microcalcification clusters in 2D digital mammography and breast tomosynthesis.
Shaheen E; Van Ongeval C; Zanca F; Cockmartin L; Marshall N; Jacobs J; Young KC; R Dance D; Bosmans H
Med Phys; 2011 Dec; 38(12):6659-71. PubMed ID: 22149848
[TBL] [Abstract][Full Text] [Related]
2. The simulation of 3D mass models in 2D digital mammography and breast tomosynthesis.
Shaheen E; De Keyzer F; Bosmans H; Dance DR; Young KC; Van Ongeval C
Med Phys; 2014 Aug; 41(8):081913. PubMed ID: 25086544
[TBL] [Abstract][Full Text] [Related]
3. The effect of system geometry and dose on the threshold detectable calcification diameter in 2D-mammography and digital breast tomosynthesis.
Hadjipanteli A; Elangovan P; Mackenzie A; Looney PT; Wells K; Dance DR; Young KC
Phys Med Biol; 2017 Feb; 62(3):858-877. PubMed ID: 28072582
[TBL] [Abstract][Full Text] [Related]
4. Comparison of digital breast tomosynthesis and 2D digital mammography using a hybrid performance test.
Cockmartin L; Marshall NW; Van Ongeval C; Aerts G; Stalmans D; Zanca F; Shaheen E; De Keyzer F; Dance DR; Young KC; Bosmans H
Phys Med Biol; 2015 May; 60(10):3939-58. PubMed ID: 25909596
[TBL] [Abstract][Full Text] [Related]
5. Microcalcification detectability in breast CT images using CNN observers.
Lyu SH; Abbey CK; Hernandez AM; Boone JM
Med Phys; 2024 Feb; 51(2):933-945. PubMed ID: 38154070
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of a variable dose acquisition technique for microcalcification and mass detection in digital breast tomosynthesis.
Das M; Gifford HC; O'Connor JM; Glick SJ
Med Phys; 2009 Jun; 36(6):1976-84. PubMed ID: 19610286
[TBL] [Abstract][Full Text] [Related]
7. Penalized maximum likelihood reconstruction for improved microcalcification detection in breast tomosynthesis.
Das M; Gifford HC; O'Connor JM; Glick SJ
IEEE Trans Med Imaging; 2011 Apr; 30(4):904-14. PubMed ID: 21041158
[TBL] [Abstract][Full Text] [Related]
8. VALIDATION OF A SIMULATION PROCEDURE FOR GENERATING BREAST TOMOSYNTHESIS PROJECTION IMAGES.
Petersson H; Warren LM; Tingberg A; Dustler M; Timberg P
Radiat Prot Dosimetry; 2016 Jun; 169(1-4):386-91. PubMed ID: 26842713
[TBL] [Abstract][Full Text] [Related]
9. Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.
Ruschin M; Timberg P; Båth M; Hemdal B; Svahn T; Saunders RS; Samei E; Andersson I; Mattsson S; Chakrabort DP; Tingber A
Med Phys; 2007 Feb; 34(2):400-7. PubMed ID: 17388156
[TBL] [Abstract][Full Text] [Related]
10. Design and validation of realistic breast models for use in multiple alternative forced choice virtual clinical trials.
Elangovan P; Mackenzie A; Dance DR; Young KC; Cooke V; Wilkinson L; Given-Wilson RM; Wallis MG; Wells K
Phys Med Biol; 2017 Apr; 62(7):2778-2794. PubMed ID: 28291738
[TBL] [Abstract][Full Text] [Related]
11. The diagnostic accuracy of dual-view digital mammography, single-view breast tomosynthesis and a dual-view combination of breast tomosynthesis and digital mammography in a free-response observer performance study.
Svahn T; Andersson I; Chakraborty D; Svensson S; Ikeda D; Förnvik D; Mattsson S; Tingberg A; Zackrisson S
Radiat Prot Dosimetry; 2010; 139(1-3):113-7. PubMed ID: 20228048
[TBL] [Abstract][Full Text] [Related]
12. Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images.
Chan HP; Helvie MA; Gao M; Hadjiiski L; Zhou C; Garver K; Klein KA; McLaughlin C; Oudsema R; Rahman WT; Roubidoux MA
Med Phys; 2023 Oct; 50(10):6177-6189. PubMed ID: 37145996
[TBL] [Abstract][Full Text] [Related]
13. Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network.
Xiao B; Sun H; Meng Y; Peng Y; Yang X; Chen S; Yan Z; Zheng J
Biomed Eng Online; 2021 Jul; 20(1):71. PubMed ID: 34320986
[TBL] [Abstract][Full Text] [Related]
14. CAPNet: Context attention pyramid network for computer-aided detection of microcalcification clusters in digital breast tomosynthesis.
Wang J; Sun H; Jiang K; Cao W; Chen S; Zhu J; Yang X; Zheng J
Comput Methods Programs Biomed; 2023 Dec; 242():107831. PubMed ID: 37783114
[TBL] [Abstract][Full Text] [Related]
15. The retina as a neuromimetic model to extract data in noisy images : application to detection of microcalcification clusters in mammography.
Vibert J-; Valleron A-
AMIA Annu Symp Proc; 2003; 2003():684-8. PubMed ID: 14728260
[TBL] [Abstract][Full Text] [Related]
16. The effect of image processing on the detection of cancers in digital mammography.
Warren LM; Given-Wilson RM; Wallis MG; Cooke J; Halling-Brown MD; Mackenzie A; Chakraborty DP; Bosmans H; Dance DR; Young KC
AJR Am J Roentgenol; 2014 Aug; 203(2):387-93. PubMed ID: 25055275
[TBL] [Abstract][Full Text] [Related]
17. Breast tomosynthesis and digital mammography: a comparison of diagnostic accuracy.
Svahn TM; Chakraborty DP; Ikeda D; Zackrisson S; Do Y; Mattsson S; Andersson I
Br J Radiol; 2012 Nov; 85(1019):e1074-82. PubMed ID: 22674710
[TBL] [Abstract][Full Text] [Related]
18. Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach.
Gao M; Fessler JA; Chan HP
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988758
[No Abstract] [Full Text] [Related]
19. Optimized signal of calcifications in wide-angle digital breast tomosynthesis: a virtual imaging trial.
Vancoillie L; Cockmartin L; Lueck F; Marshall N; Keupers M; Nanke R; Kappler S; Van Ongeval C; Bosmans H
Eur Radiol; 2024 Mar; ():. PubMed ID: 38546790
[TBL] [Abstract][Full Text] [Related]
20. Effect of glandularity on the detection of simulated cancers in planar, tomosynthesis, and synthetic 2D imaging of the breast using a hybrid virtual clinical trial.
Mackenzie A; Kaur S; Thomson EL; Mitchell M; Elangovan P; Warren LM; Dance DR; Young KC
Med Phys; 2021 Nov; 48(11):6859-6868. PubMed ID: 34496038
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
