161 related articles for article (PubMed ID: 21096808)
1. 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]
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. 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]
4. 3-D reconstruction of microcalcification clusters using stereo imaging: algorithm and mammographic unit calibration.
Daul C; Graebling P; Tiedeu A; Wolf D
IEEE Trans Biomed Eng; 2005 Dec; 52(12):2058-73. PubMed ID: 16366229
[TBL] [Abstract][Full Text] [Related]
5. 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]
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. 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]
8. The use of a priori information in the detection of mammographic microcalcifications to improve their classification.
Salfity MF; Nishikawa RM; Jiang Y; Papaioannou J
Med Phys; 2003 May; 30(5):823-31. PubMed ID: 12772990
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Detecting microcalcifications in digital mammograms using wavelet domain hidden Markov tree model.
Regentova E; Zhang L; Zheng J; Veni G
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1972-5. PubMed ID: 17945686
[TBL] [Abstract][Full Text] [Related]
11. Relevance vector machine for automatic detection of clustered microcalcifications.
Wei L; Yang Y; Nishikawa RM; Wernick MN; Edwards A
IEEE Trans Med Imaging; 2005 Oct; 24(10):1278-85. PubMed ID: 16229415
[TBL] [Abstract][Full Text] [Related]
12. Shape analysis of microcalcifications using Radon transform.
Bocchi L; Nori J
Med Eng Phys; 2007 Jul; 29(6):691-8. PubMed ID: 17081794
[TBL] [Abstract][Full Text] [Related]
13. CADx of mammographic masses and clustered microcalcifications: a review.
Elter M; Horsch A
Med Phys; 2009 Jun; 36(6):2052-68. PubMed ID: 19610294
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Automatic detection of microcalcifications with multi-fractal spectrum.
Ding Y; Dai H; Zhang H
Biomed Mater Eng; 2014; 24(6):3049-54. PubMed ID: 25227013
[TBL] [Abstract][Full Text] [Related]
16. Detection of single and clustered microcalcifications in mammograms using fractals models and neural networks.
Bocchi L; Coppini G; Nori J; Valli G
Med Eng Phys; 2004 May; 26(4):303-12. PubMed ID: 15121055
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications.
Wei L; Yang Y; Nishikawa RM; Jiang Y
IEEE Trans Med Imaging; 2005 Mar; 24(3):371-80. PubMed ID: 15754987
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
