145 related articles for article (PubMed ID: 32358973)
1. A radiomics method to classify microcalcification clusters in digital breast tomosynthesis.
Peng Y; Wu S; Yuan G; Wu Z; Du Q; Sun H; Yang X; Chen Q; Zheng J
Med Phys; 2020 Aug; 47(8):3435-3446. PubMed ID: 32358973
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. Characterisation of microcalcification clusters on 2D digital mammography (FFDM) and digital breast tomosynthesis (DBT): does DBT underestimate microcalcification clusters? Results of a multicentre study.
Tagliafico A; Mariscotti G; Durando M; Stevanin C; Tagliafico G; Martino L; Bignotti B; Calabrese M; Houssami N
Eur Radiol; 2015 Jan; 25(1):9-14. PubMed ID: 25163902
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slices.
Chan HP; Wu YT; Sahiner B; Wei J; Helvie MA; Zhang Y; Moore RH; Kopans DB; Hadjiiski L; Way T
Med Phys; 2010 Jul; 37(7):3576-86. PubMed ID: 20831065
[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. 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]
11. Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison.
Spangler ML; Zuley ML; Sumkin JH; Abrams G; Ganott MA; Hakim C; Perrin R; Chough DM; Shah R; Gur D
AJR Am J Roentgenol; 2011 Feb; 196(2):320-4. PubMed ID: 21257882
[TBL] [Abstract][Full Text] [Related]
12. Computerized evaluation of mammographic lesions: what diagnostic role does the shape of the individual microcalcifications play compared with the geometry of the cluster?
Leichter I; Lederman R; Buchbinder SS; Bamberger P; Novak B; Fields S
AJR Am J Roentgenol; 2004 Mar; 182(3):705-12. PubMed ID: 14975973
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Digital breast tomosynthesis-based peritumoral radiomics approaches in the differentiation of benign and malignant breast lesions.
Niu S; Yu T; Cao Y; Dong Y; Luo Y; Jiang X
Diagn Interv Radiol; 2022 May; 28(3):217-225. PubMed ID: 35748203
[TBL] [Abstract][Full Text] [Related]
17. Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
Mendel K; Li H; Sheth D; Giger M
Acad Radiol; 2019 Jun; 26(6):735-743. PubMed ID: 30076083
[TBL] [Abstract][Full Text] [Related]
18. Topological modeling and classification of mammographic microcalcification clusters.
Chen Z; Strange H; Oliver A; Denton ER; Boggis C; Zwiggelaar R
IEEE Trans Biomed Eng; 2015 Apr; 62(4):1203-14. PubMed ID: 25546849
[TBL] [Abstract][Full Text] [Related]
19. Two-view and single-view tomosynthesis versus full-field digital mammography: high-resolution X-ray imaging observer study.
Wallis MG; Moa E; Zanca F; Leifland K; Danielsson M
Radiology; 2012 Mar; 262(3):788-96. PubMed ID: 22274840
[TBL] [Abstract][Full Text] [Related]
20. A two-stage method for microcalcification cluster segmentation in mammography by deformable models.
Arikidis N; Vassiou K; Kazantzi A; Skiadopoulos S; Karahaliou A; Costaridou L
Med Phys; 2015 Oct; 42(10):5848-61. PubMed ID: 26429259
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
