142 related articles for article (PubMed ID: 21735250)
21. Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction.
Llobet R; Pollán M; Antón J; Miranda-García J; Casals M; Martínez I; Ruiz-Perales F; Pérez-Gómez B; Salas-Trejo D; Pérez-Cortés JC
Comput Methods Programs Biomed; 2014 Sep; 116(2):105-15. PubMed ID: 24636804
[TBL] [Abstract][Full Text] [Related]
22. Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification.
Zafeiriou S; Tefas A; Buciu I; Pitas I
IEEE Trans Neural Netw; 2006 May; 17(3):683-95. PubMed ID: 16722172
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. SemiBoost: boosting for semi-supervised learning.
Mallapragada PK; Jin R; Jain AK; Liu Y
IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
[TBL] [Abstract][Full Text] [Related]
25. Enhancement of breast CADx with unlabeled data.
Jamieson AR; Giger ML; Drukker K; Pesce LL
Med Phys; 2010 Aug; 37(8):4155-72. PubMed ID: 20879576
[TBL] [Abstract][Full Text] [Related]
26. Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.
Cao P; Liu X; Bao H; Yang J; Zhao D
Biomed Mater Eng; 2015; 26 Suppl 1():S1541-7. PubMed ID: 26405918
[TBL] [Abstract][Full Text] [Related]
27. Automated labelling of cancer textures in colorectal histopathology slides using quasi-supervised learning.
Onder D; Sarioglu S; Karacali B
Micron; 2013 Apr; 47():33-42. PubMed ID: 23415158
[TBL] [Abstract][Full Text] [Related]
28. A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications.
Chen W; Metz CE; Giger ML; Drukker K
IEEE Trans Med Imaging; 2010 Feb; 29(2):428-41. PubMed ID: 19822471
[TBL] [Abstract][Full Text] [Related]
29. Classification of breast masses in ultrasonic B scans using Nakagami and K distributions.
Shankar PM; Dumane VA; George T; Piccoli CW; Reid JM; Forsberg F; Goldberg BB
Phys Med Biol; 2003 Jul; 48(14):2229-40. PubMed ID: 12894981
[TBL] [Abstract][Full Text] [Related]
30. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
31. Ubiquitously supervised subspace learning.
Yang J; Yan S; Huang TS
IEEE Trans Image Process; 2009 Feb; 18(2):241-9. PubMed ID: 19126470
[TBL] [Abstract][Full Text] [Related]
32. Direct discriminant locality preserving projection with Hammerstein polynomial expansion.
Chen X; Zhang J; Li D
IEEE Trans Image Process; 2012 Dec; 21(12):4858-67. PubMed ID: 23008254
[TBL] [Abstract][Full Text] [Related]
33. On feature extraction via kernels.
Yang C; Wang L; Feng J
IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):553-7. PubMed ID: 18348937
[TBL] [Abstract][Full Text] [Related]
34. Support vector machines for classification: a statistical portrait.
Lee Y
Methods Mol Biol; 2010; 620():347-68. PubMed ID: 20652511
[TBL] [Abstract][Full Text] [Related]
35. Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image.
Tae-Kyun Kim ; Kittler J
IEEE Trans Pattern Anal Mach Intell; 2005 Mar; 27(3):318-327. PubMed ID: 15747788
[TBL] [Abstract][Full Text] [Related]
36. Minimum class variance support vector machines.
Zafeiriou S; Tefas A; Pitas I
IEEE Trans Image Process; 2007 Oct; 16(10):2551-64. PubMed ID: 17926936
[TBL] [Abstract][Full Text] [Related]
37. A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions.
Gallego-Ortiz C; Martel AL
Med Image Anal; 2019 Jan; 51():116-124. PubMed ID: 30412826
[TBL] [Abstract][Full Text] [Related]
38. A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction.
Zhao M; Zhang Z; Chow TW; Li B
Neural Netw; 2014 Jul; 55():83-97. PubMed ID: 24819874
[TBL] [Abstract][Full Text] [Related]
39. Learning with box kernels.
Melacci S; Gori M
IEEE Trans Pattern Anal Mach Intell; 2013 Nov; 35(11):2680-92. PubMed ID: 24051728
[TBL] [Abstract][Full Text] [Related]
40. Efficient online subspace learning with an indefinite kernel for visual tracking and recognition.
Liwicki S; Zafeiriou S; Tzimiropoulos G; Pantic M
IEEE Trans Neural Netw Learn Syst; 2012 Oct; 23(10):1624-36. PubMed ID: 24808007
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
