176 related articles for article (PubMed ID: 15104319)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. A completely automated CAD system for mass detection in a large mammographic database.
Bellotti R; De Carlo F; Tangaro S; Gargano G; Maggipinto G; Castellano M; Massafra R; Cascio D; Fauci F; Magro R; Raso G; Lauria A; Forni G; Bagnasco S; Cerello P; Zanon E; Cheran SC; Lopez Torres E; Bottigli U; Masala GL; Oliva P; Retico A; Fantacci ME; Cataldo R; De Mitri I; De Nunzio G
Med Phys; 2006 Aug; 33(8):3066-75. PubMed ID: 16964885
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. 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]
13. 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]
14. Steepest changes of a probability-based cost function for delineation of mammographic masses: a validation study.
Kinnard L; Lo SC; Makariou E; Osicka T; Wang P; Chouikha MF; Freedman MT
Med Phys; 2004 Oct; 31(10):2796-810. PubMed ID: 15543787
[TBL] [Abstract][Full Text] [Related]
15. Computerized nipple identification for multiple image analysis in computer-aided diagnosis.
Zhou C; Chan HP; Paramagul C; Roubidoux MA; Sahiner B; Hadjiiski LM; Petrick N
Med Phys; 2004 Oct; 31(10):2871-82. PubMed ID: 15543797
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided detection; the effect of training databases on detection of subtle breast masses.
Zheng B; Wang X; Lederman D; Tan J; Gur D
Acad Radiol; 2010 Nov; 17(11):1401-8. PubMed ID: 20650667
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms.
Tourassi GD; Harrawood B; Singh S; Lo JY; Floyd CE
Med Phys; 2007 Jan; 34(1):140-50. PubMed ID: 17278499
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]