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Items: 1 to 20 of 120

1.

Multiple adaptive neuro-fuzzy inference system with automatic features extraction algorithm for cervical cancer recognition.

Al-batah MS, Isa NA, Klaib MF, Al-Betar MA.

Comput Math Methods Med. 2014;2014:181245. doi: 10.1155/2014/181245. Epub 2014 Feb 23.

2.

An automated cervical pre-cancerous diagnostic system.

Mat-Isa NA, Mashor MY, Othman NH.

Artif Intell Med. 2008 Jan;42(1):1-11. Epub 2007 Nov 8.

PMID:
17996432
3.

Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients.

Güler I, Ubeyli ED.

J Neurosci Methods. 2005 Oct 30;148(2):113-21. Epub 2005 Jul 28.

PMID:
16054702
4.

[Health technology assessment report: Computer-assisted Pap test for cervical cancer screening].

Della Palma P, Moresco L, Giorgi Rossi P.

Epidemiol Prev. 2012 Sep-Oct;36(5 Suppl 3):e1-43. Italian.

5.

Automatic cervical cell segmentation and classification in Pap smears.

Chankong T, Theera-Umpon N, Auephanwiriyakul S.

Comput Methods Programs Biomed. 2014 Feb;113(2):539-56. doi: 10.1016/j.cmpb.2013.12.012. Epub 2014 Jan 2.

PMID:
24433758
6.

A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines.

Sun ZL, Au KF, Choi TM.

IEEE Trans Syst Man Cybern B Cybern. 2007 Oct;37(5):1321-31.

PMID:
17926712
7.

Data cluster analysis-based classification of overlapping nuclei in Pap smear samples.

Guven M, Cengizler C.

Biomed Eng Online. 2014 Dec 9;13:159. doi: 10.1186/1475-925X-13-159.

8.

A new Multiple ANFIS model for classification of hemiplegic gait.

Yardimci A, Asilkan O.

Stud Health Technol Inform. 2014;205:88-92.

PMID:
25160151
9.

Automatic detection of erthemato-squamous diseases using adaptive neuro- fuzzy inference systems.

Ubeyli ED, Güler I.

Comput Biol Med. 2005 Jun;35(5):421-433.

PMID:
16136651
10.

Modeling hourly dissolved oxygen concentration (DO) using two different adaptive neuro-fuzzy inference systems (ANFIS): a comparative study.

Heddam S.

Environ Monit Assess. 2014 Jan;186(1):597-619. doi: 10.1007/s10661-013-3402-1. Epub 2013 Sep 21.

PMID:
24057665
11.
12.

A transductive neuro-fuzzy controller: application to a drilling process.

Gajate A, Haber RE, Vega PI, Alique JR.

IEEE Trans Neural Netw. 2010 Jul;21(7):1158-67. doi: 10.1109/TNN.2010.2050602.

PMID:
20659865
13.

Nominated texture based cervical cancer classification.

Mariarputham EJ, Stephen A.

Comput Math Methods Med. 2015;2015:586928. doi: 10.1155/2015/586928. Epub 2015 Jan 14.

15.

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. doi: 10.1016/j.cmpb.2008.10.012. Epub 2008 Dec 11.

PMID:
19084286
16.
17.

A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells.

Tang JR, Mat Isa NA, Ch'ng ES.

PLoS One. 2015 Nov 11;10(11):e0142830. doi: 10.1371/journal.pone.0142830. eCollection 2015.

18.
19.

A novel approach to neuro-fuzzy classification.

Ghosh A, Shankar BU, Meher SK.

Neural Netw. 2009 Jan;22(1):100-9. doi: 10.1016/j.neunet.2008.09.011. Epub 2008 Oct 9.

PMID:
19004614
20.

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