These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
161 related articles for article (PubMed ID: 23366901)
1. Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in computer-aided detection of masses on mammograms. Choi JY; Kim DH; Plataniotis KN; Ro YM Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4394-7. PubMed ID: 23366901 [TBL] [Abstract][Full Text] [Related]
2. Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers. Park SC; Pu J; Zheng B Acad Radiol; 2009 Mar; 16(3):266-74. PubMed ID: 19201355 [TBL] [Abstract][Full Text] [Related]
3. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms. Zheng B; Gur D; Good WF; Hardesty LA Med Phys; 2004 Nov; 31(11):2964-72. PubMed ID: 15587648 [TBL] [Abstract][Full Text] [Related]
4. Computer-aided detection of breast masses on mammograms: dual system approach with two-view analysis. Wei J; Chan HP; Sahiner B; Zhou C; Hadjiiski LM; Roubidoux MA; Helvie MA Med Phys; 2009 Oct; 36(10):4451-60. PubMed ID: 19928076 [TBL] [Abstract][Full Text] [Related]
5. Dual system approach to computer-aided detection of breast masses on mammograms. Wei J; Chan HP; Sahiner B; Hadjiiski LM; Helvie MA; Roubidoux MA; Zhou C; Ge J Med Phys; 2006 Nov; 33(11):4157-68. PubMed ID: 17153394 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. An evaluation of contrast enhancement techniques for mammographic breast masses. Singh S; Bovis K IEEE Trans Inf Technol Biomed; 2005 Mar; 9(1):109-19. PubMed ID: 15787013 [TBL] [Abstract][Full Text] [Related]
8. Multiview-based computer-aided detection scheme for breast masses. Zheng B; Leader JK; Abrams GS; Lu AH; Wallace LP; Maitz GS; Gur D Med Phys; 2006 Sep; 33(9):3135-43. PubMed ID: 17022205 [TBL] [Abstract][Full Text] [Related]
9. Improved location features for linkage of regions across ipsilateral mammograms. Tanner C; van Schie G; Lesniak JM; Karssemeijer N; Székely G Med Image Anal; 2013 Dec; 17(8):1265-72. PubMed ID: 23731758 [TBL] [Abstract][Full Text] [Related]
10. Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography. Zyout I; Czajkowska J; Grzegorzek M Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():95-107. PubMed ID: 25795630 [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. A novel featureless approach to mass detection in digital mammograms based on support vector machines. Campanini R; Dongiovanni D; Iampieri E; Lanconelli N; Masotti M; Palermo G; Riccardi A; Roffilli M Phys Med Biol; 2004 Mar; 49(6):961-75. PubMed ID: 15104319 [TBL] [Abstract][Full Text] [Related]
13. Mass auto-detection in mammogram based on wavelet transform modulus maximum. Ke L; He W; Kang Y Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():5760-3. PubMed ID: 19963653 [TBL] [Abstract][Full Text] [Related]
14. A concentric morphology model for the detection of masses in mammography. Eltonsy NH; Tourassi GD; Elmaghraby AS IEEE Trans Med Imaging; 2007 Jun; 26(6):880-9. PubMed ID: 17679338 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Mammogram-based discriminant fusion analysis for breast cancer diagnosis. Li JB; Wang YH; Tang LL Clin Imaging; 2012; 36(6):710-6. PubMed ID: 23153999 [TBL] [Abstract][Full Text] [Related]
17. Use of normal tissue context in computer-aided detection of masses in mammograms. Hupse R; Karssemeijer N IEEE Trans Med Imaging; 2009 Dec; 28(12):2033-41. PubMed ID: 19666331 [TBL] [Abstract][Full Text] [Related]
18. Characterization of architectural distortion in mammograms. Ayres FJ; Rangayyan RM IEEE Eng Med Biol Mag; 2005; 24(1):59-67. PubMed ID: 15709538 [No 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. False positive reduction in mammographic mass detection using local binary patterns. Oliver A; Lladó X; Freixenet J; Martí J Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):286-93. PubMed ID: 18051070 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]