171 related articles for article (PubMed ID: 18491543)
1. 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]
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. 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]
4. 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]
5. 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]
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. 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]
8. SVM and neural networks comparison in mammographic CAD.
García-Orellana CJ; Gallardo-Caballero R; Macías-Macias M; González-Velasco H
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3204-7. PubMed ID: 18002677
[TBL] [Abstract][Full Text] [Related]
9. The effect of angular dose distribution on the detection of microcalcifications in digital breast tomosynthesis.
Hu YH; Zhao W
Med Phys; 2011 May; 38(5):2455-66. PubMed ID: 21776781
[TBL] [Abstract][Full Text] [Related]
10. Noise equalization for detection of microcalcification clusters in direct digital mammogram images.
McLoughlin KJ; Bones PJ; Karssemeijer N
IEEE Trans Med Imaging; 2004 Mar; 23(3):313-20. PubMed ID: 15027524
[TBL] [Abstract][Full Text] [Related]
11. Microcalcification detection using cone-beam CT mammography with a flat-panel imager.
Gong X; Vedula AA; Glick SJ
Phys Med Biol; 2004 Jun; 49(11):2183-95. PubMed ID: 15248571
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images.
Samala RK; Chan HP; Lu Y; Hadjiiski LM; Wei J; Helvie MA
Phys Med Biol; 2015 Nov; 60(21):8457-79. PubMed ID: 26464355
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Microcalcifications Detected at Screening Mammography: Synthetic Mammography and Digital Breast Tomosynthesis versus Digital Mammography.
Lai YC; Ray KM; Lee AY; Hayward JH; Freimanis RI; Lobach IV; Joe BN
Radiology; 2018 Dec; 289(3):630-638. PubMed ID: 30277445
[TBL] [Abstract][Full Text] [Related]
15. Computerized mass detection for digital breast tomosynthesis directly from the projection images.
Reiser I; Nishikawa RM; Giger ML; Wu T; Rafferty EA; Moore R; Kopans DB
Med Phys; 2006 Feb; 33(2):482-91. PubMed ID: 16532956
[TBL] [Abstract][Full Text] [Related]
16. A support vector machine approach for detection of microcalcifications.
El-Naqa I; Yang Y; Wernick MN; Galatsanos NP; Nishikawa RM
IEEE Trans Med Imaging; 2002 Dec; 21(12):1552-63. PubMed ID: 12588039
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Microcalcification detection based on wavelet domain hidden markov tree model: study for inclusion to computer aided diagnostic prompting system.
Regentova E; Zhang L; Zheng J; Veni G
Med Phys; 2007 Jun; 34(6):2206-19. PubMed ID: 17654922
[TBL] [Abstract][Full Text] [Related]
19. A similarity learning approach to content-based image retrieval: application to digital mammography.
El-Naqa I; Yang Y; Galatsanos NP; Nishikawa RM; Wernick MN
IEEE Trans Med Imaging; 2004 Oct; 23(10):1233-44. PubMed ID: 15493691
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
