139 related articles for article (PubMed ID: 15910107)
1. Support vector machine for optical diagnosis of cancer.
Majumder SK; Ghosh N; Gupta PK
J Biomed Opt; 2005; 10(2):024034. PubMed ID: 15910107
[TBL] [Abstract][Full Text] [Related]
2. Relevance vector machine for optical diagnosis of cancer.
Majumder SK; Ghosh N; Gupta PK
Lasers Surg Med; 2005 Apr; 36(4):323-33. PubMed ID: 15825208
[TBL] [Abstract][Full Text] [Related]
3. Nonlinear pattern recognition for laser-induced fluorescence diagnosis of cancer.
Majumder SK; Ghosh N; Kataria S; Gupta PK
Lasers Surg Med; 2003; 33(1):48-56. PubMed ID: 12866121
[TBL] [Abstract][Full Text] [Related]
4. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
Zhang Y; Deng Q; Liang W; Zou X
Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
[TBL] [Abstract][Full Text] [Related]
5. Development of two-stage SVM-RFE gene selection strategy for microarray expression data analysis.
Tang Y; Zhang YQ; Huang Z
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(3):365-81. PubMed ID: 17666757
[TBL] [Abstract][Full Text] [Related]
6. Multi-class classification algorithm for optical diagnosis of oral cancer.
Majumder SK; Gupta A; Gupta S; Ghosh N; Gupta PK
J Photochem Photobiol B; 2006 Nov; 85(2):109-17. PubMed ID: 16839771
[TBL] [Abstract][Full Text] [Related]
7. Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.
Shi P; Ray S; Zhu Q; Kon MA
BMC Bioinformatics; 2011 Sep; 12():375. PubMed ID: 21939564
[TBL] [Abstract][Full Text] [Related]
8. Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging.
Wang R; Li R; Lei Y; Zhu Q
Biomed Mater Eng; 2015; 26 Suppl 1():S975-81. PubMed ID: 26406101
[TBL] [Abstract][Full Text] [Related]
9. Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.
Niijima S; Kuhara S
BMC Bioinformatics; 2006 Dec; 7():543. PubMed ID: 17187691
[TBL] [Abstract][Full Text] [Related]
10. [Application of serum tumor markers and support vector machine in the diagnosis of oral squamous cell carcinoma].
Zhong LP; Zhou XJ; Wei KJ; Yang X; Ma CY; Zhang CP; Zhang ZY
Shanghai Kou Qiang Yi Xue; 2008 Oct; 17(5):457-60. PubMed ID: 18989582
[TBL] [Abstract][Full Text] [Related]
11. Effect of finite sample size on feature selection and classification: a simulation study.
Way TW; Sahiner B; Hadjiiski LM; Chan HP
Med Phys; 2010 Feb; 37(2):907-20. PubMed ID: 20229900
[TBL] [Abstract][Full Text] [Related]
12. Cancer survival classification using integrated data sets and intermediate information.
Kim S; Park T; Kon M
Artif Intell Med; 2014 Sep; 62(1):23-31. PubMed ID: 24997860
[TBL] [Abstract][Full Text] [Related]
13. Improving the computational efficiency of recursive cluster elimination for gene selection.
Luo LK; Huang DF; Ye LJ; Zhou QF; Shao GF; Peng H
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):122-9. PubMed ID: 20479497
[TBL] [Abstract][Full Text] [Related]
14. SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.
Sanz H; Valim C; Vegas E; Oller JM; Reverter F
BMC Bioinformatics; 2018 Nov; 19(1):432. PubMed ID: 30453885
[TBL] [Abstract][Full Text] [Related]
15. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.
Zhou X; Tuck DP
Bioinformatics; 2007 May; 23(9):1106-14. PubMed ID: 17494773
[TBL] [Abstract][Full Text] [Related]
16. Raman spectra exploring breast tissues: comparison of principal component analysis and support vector machine-recursive feature elimination.
Hu C; Wang J; Zheng C; Xu S; Zhang H; Liang Y; Bi L; Fan Z; Han B; Xu W
Med Phys; 2013 Jun; 40(6):063501. PubMed ID: 23718612
[TBL] [Abstract][Full Text] [Related]
17. Recursive Support Vector Machine Biomarker Selection for Alzheimer's Disease.
Zhang F; Petersen M; Johnson L; Hall J; O'Bryant SE
J Alzheimers Dis; 2021; 79(4):1691-1700. PubMed ID: 33492292
[TBL] [Abstract][Full Text] [Related]
18. Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions.
Aksu Y; Miller DJ; Kesidis G; Yang QX
IEEE Trans Neural Netw; 2010 May; 21(5):701-17. PubMed ID: 20194055
[TBL] [Abstract][Full Text] [Related]
19. Optical pathology using oral tissue fluorescence spectra: classification by principal component analysis and k-means nearest neighbor analysis.
Kamath SD; Mahato KK
J Biomed Opt; 2007; 12(1):014028. PubMed ID: 17343503
[TBL] [Abstract][Full Text] [Related]
20. Detection of oral mucosal lesions by the fluorescence spectroscopy and classification of cancerous stages by support vector machine.
Kumar P; Rathod S; Pradhan A
Lasers Med Sci; 2024 Jan; 39(1):42. PubMed ID: 38240832
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]