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.
117 related articles for article (PubMed ID: 17945937)
1. Computer-based classification of eye diseases. Acharya UR; Kannathal N; Ng EY; Min LC; Suri JS Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():6121-4. PubMed ID: 17945937 [TBL] [Abstract][Full Text] [Related]
2. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer. Kar S; Majumder DD Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787 [TBL] [Abstract][Full Text] [Related]
3. Comparative study on the use of analytical software to identify the different stages of breast cancer using discrete temperature data. Tan JM; Ng EY; Acharya RU; Keith LG; Holmes J J Med Syst; 2009 Apr; 33(2):141-53. PubMed ID: 19397099 [TBL] [Abstract][Full Text] [Related]
4. Automatic Detection and Classification of Lung Nodules in CT Image Using Optimized Neuro Fuzzy Classifier with Cuckoo Search Algorithm. Manickavasagam R; Selvan S J Med Syst; 2019 Feb; 43(3):77. PubMed ID: 30758682 [TBL] [Abstract][Full Text] [Related]
5. A novel computer-aided lung nodule detection system for CT images. Tan M; Deklerck R; Jansen B; Bister M; Cornelis J Med Phys; 2011 Oct; 38(10):5630-45. PubMed ID: 21992380 [TBL] [Abstract][Full Text] [Related]
6. Reviewing ensemble classification methods in breast cancer. Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964 [TBL] [Abstract][Full Text] [Related]
7. Using fuzzy association rule mining in cancer classification. Mahmoodian H; Hamiruce Marhaban M; Abdulrahim R; Rosli R; Saripan I Australas Phys Eng Sci Med; 2011 Apr; 34(1):41-54. PubMed ID: 21327594 [TBL] [Abstract][Full Text] [Related]
8. Computer-Aided Diagnosis of Anterior Segment Eye Abnormalities using Visible Wavelength Image Analysis Based Machine Learning. S V MK; R G J Med Syst; 2018 Jun; 42(7):128. PubMed ID: 29860586 [TBL] [Abstract][Full Text] [Related]
9. Acoustic fall detection using one-class classifiers. Popescu M; Mahnot A Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3505-8. PubMed ID: 19964801 [TBL] [Abstract][Full Text] [Related]
10. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. Güler I; Ubeyli ED J Neurosci Methods; 2005 Oct; 148(2):113-21. PubMed ID: 16054702 [TBL] [Abstract][Full Text] [Related]
11. Identification of cataract and post-cataract surgery optical images using artificial intelligence techniques. Acharya RU; Yu W; Zhu K; Nayak J; Lim TC; Chan JY J Med Syst; 2010 Aug; 34(4):619-28. PubMed ID: 20703916 [TBL] [Abstract][Full Text] [Related]
12. MRMR optimized classification for automatic glaucoma diagnosis. Zhang Z; Kwoh CK; Liu J; Yin F; Wirawan A; Cheung C; Baskaran M; Aung T; Wong TY Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6228-31. PubMed ID: 22255762 [TBL] [Abstract][Full Text] [Related]
13. Situation assessment of glaucoma using a hybrid fuzzy neural network. Zahlmann G; Scherf M; Wegner A; Obermaier M; Mertz M IEEE Eng Med Biol Mag; 2000; 19(1):84-91. PubMed ID: 10659433 [No Abstract] [Full Text] [Related]
14. Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents. Ubeyli ED Comput Methods Programs Biomed; 2009 Mar; 93(3):313-21. PubMed ID: 19084286 [TBL] [Abstract][Full Text] [Related]
15. Obtaining interpretable fuzzy classification rules from medical data. Nauck D; Kruse R Artif Intell Med; 1999 Jun; 16(2):149-69. PubMed ID: 10378442 [TBL] [Abstract][Full Text] [Related]
16. HClass: Automatic classification tool for health pathologies using artificial intelligence techniques. Garcia-Chimeno Y; Garcia-Zapirain B Biomed Mater Eng; 2015; 26 Suppl 1():S1821-8. PubMed ID: 26405953 [TBL] [Abstract][Full Text] [Related]
17. Diagnosis of the industrial systems by fuzzy classification. Toscano R; Lyonnet P ISA Trans; 2003 Apr; 42(2):327-35. PubMed ID: 12708550 [TBL] [Abstract][Full Text] [Related]
18. Automatic identification of diabetic maculopathy stages using fundus images. Nayak J; Bhat PS; Acharya UR J Med Eng Technol; 2009; 33(2):119-29. PubMed ID: 19205991 [TBL] [Abstract][Full Text] [Related]
19. Integrating heterogeneous classifier ensembles for EMG signal decomposition based on classifier agreement. Rasheed S; Stashuk DW; Kamel MS IEEE Trans Inf Technol Biomed; 2010 May; 14(3):866-82. PubMed ID: 19171524 [TBL] [Abstract][Full Text] [Related]
20. Automated sensory nerve conduction testing using fuzzy logic. Gitter A; Lin V Am J Phys Med Rehabil; 1999; 78(5):425-34. PubMed ID: 10493453 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]