136 related articles for article (PubMed ID: 27274993)
1. Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis.
Jeong JW; Chae SH; Chae EY; Kim HH; Choi YW; Lee S
Biomed Res Int; 2016; 2016():8651573. PubMed ID: 27274993
[TBL] [Abstract][Full Text] [Related]
2. 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. PubMed ID: 22225272
[TBL] [Abstract][Full Text] [Related]
3. Simplified computer-aided detection scheme of microcalcification clusters in digital breast tomosynthesis images.
Ji-Wook Jeong ; Seung-Hoon Chae ; Eun Young Chae ; Hak Hee Kim ; Young Wook Choi ; Sooyeul Lee
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1070-1073. PubMed ID: 28268510
[TBL] [Abstract][Full Text] [Related]
4. Computer-aided detection of clustered microcalcifications in multiscale bilateral filtering regularized reconstructed digital breast tomosynthesis volume.
Samala RK; Chan HP; Lu Y; Hadjiiski L; Wei J; Sahiner B; Helvie MA
Med Phys; 2014 Feb; 41(2):021901. PubMed ID: 24506622
[TBL] [Abstract][Full Text] [Related]
5. Multichannel response analysis on 2D projection views for detection of clustered microcalcifications in digital breast tomosynthesis.
Wei J; Chan HP; Hadjiiski LM; Helvie MA; Lu Y; Zhou C; Samala R
Med Phys; 2014 Apr; 41(4):041913. PubMed ID: 24694144
[TBL] [Abstract][Full Text] [Related]
6. Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis.
Zhang F; Wu S; Zhang C; Chen Q; Yang X; Jiang K; Zheng J
Med Phys; 2019 Mar; 46(3):1300-1308. PubMed ID: 30661242
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis.
Samala RK; Chan HP; Hadjiiski LM; Helvie MA
Phys Med Biol; 2016 Oct; 61(19):7092-7112. PubMed ID: 27648708
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Computer aided detection of clusters of microcalcifications on full field digital mammograms.
Ge J; Sahiner B; Hadjiiski LM; Chan HP; Wei J; Helvie MA; Zhou C
Med Phys; 2006 Aug; 33(8):2975-88. PubMed ID: 16964876
[TBL] [Abstract][Full Text] [Related]
11. Computer-aided detection of masses in digital tomosynthesis mammography: comparison of three approaches.
Chan HP; Wei J; Zhang Y; Helvie MA; Moore RH; Sahiner B; Hadjiiski L; Kopans DB
Med Phys; 2008 Sep; 35(9):4087-95. PubMed ID: 18841861
[TBL] [Abstract][Full Text] [Related]
12. Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography.
Petropoulos AE; Skiadopoulos SG; Karahaliou AN; Messaris GAT; Arikidis NS; Costaridou LI
Med Biol Eng Comput; 2020 Jan; 58(1):187-209. PubMed ID: 31813091
[TBL] [Abstract][Full Text] [Related]
13. Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images.
Samala RK; Chan HP; Lu Y; Hadjiiski LM; Wei J; Helvie MA
Phys Med Biol; 2014 Dec; 59(23):7457-77. PubMed ID: 25393654
[TBL] [Abstract][Full Text] [Related]
14. Digital breast tomosynthesis: observer performance of clustered microcalcification detection on breast phantom images acquired with an experimental system using variable scan angles, angular increments, and number of projection views.
Chan HP; Goodsitt MM; Helvie MA; Zelakiewicz S; Schmitz A; Noroozian M; Paramagul C; Roubidoux MA; Nees AV; Neal CH; Carson P; Lu Y; Hadjiiski L; Wei J
Radiology; 2014 Dec; 273(3):675-85. PubMed ID: 25007048
[TBL] [Abstract][Full Text] [Related]
15. Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings.
Hossain MB; Nishikawa RM; Lee J
Med Phys; 2022 Dec; 49(12):7596-7608. PubMed ID: 35916103
[TBL] [Abstract][Full Text] [Related]
16. Detection of masses in digital breast tomosynthesis using complementary information of simulated projection.
Kim ST; Kim DH; Ro YM
Med Phys; 2015 Dec; 42(12):7043-58. PubMed ID: 26632059
[TBL] [Abstract][Full Text] [Related]
17. Importance of point-by-point back projection correction for isocentric motion in digital breast tomosynthesis: relevance to morphology of structures such as microcalcifications.
Chen Y; Lo JY; Dobbins JT
Med Phys; 2007 Oct; 34(10):3885-92. PubMed ID: 17985634
[TBL] [Abstract][Full Text] [Related]
18. Automated detection of microcalcification clusters for digital breast tomosynthesis using projection data only: a preliminary study.
Reiser I; Nishikawa RM; Edwards AV; Kopans DB; Schmidt RA; Papaioannou J; Moore RH
Med Phys; 2008 Apr; 35(4):1486-93. PubMed ID: 18491543
[TBL] [Abstract][Full Text] [Related]
19. Classification of clusters of microcalcifications in digital breast tomosynthesis.
Ho CP; Tromans C; Schnabel JA; Brady M
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3166-9. PubMed ID: 21096808
[TBL] [Abstract][Full Text] [Related]
20. A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone-beam CT breast imaging.
Gong X; Glick SJ; Liu B; Vedula AA; Thacker S
Med Phys; 2006 Apr; 33(4):1041-52. PubMed ID: 16696481
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
