Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Esin Dogantekin"'
Publikováno v:
Clinical Epidemiology and Global Health, Vol 29, Iss , Pp 101753- (2024)
Introduction: The Kahramanmaraş earthquake, which has been classified as an earthquake with significant and destructive consequences on a global scale, has been referred to as ''the disaster of the century.'', occurred on February 6, 2023. A conside
Externí odkaz:
https://doaj.org/article/4340a3f0336e41738f2b825150162869
Publikováno v:
Biocybernetics and Biomedical Engineering. 43:58-68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8860684a7ef73767a11bfd405002311
https://doi.org/10.1016/j.bbe.2022.12.001
https://doi.org/10.1016/j.bbe.2022.12.001
Publikováno v:
Measurement. 147:106830
Brain tumor classification is a challenging task in the field of medical image processing. The present study proposes a hybrid method using Neutrosophy and Convolutional Neural Network (NS-CNN). It aims to classify tumor region areas that are segment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9023bf541bab264da38c8d1b62e83ace
https://doi.org/10.1016/j.measurement.2019.07.058
https://doi.org/10.1016/j.measurement.2019.07.058
Publikováno v:
Digital Signal Processing
Innovations in the fields of medicine and medical image processing are becoming increasingly important. Historically, RNA viruses produced in cell cultures have been identified using electron microscopy, in which virus identification is performed by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de2ed8fe89ffb098f4b49e856808d308
http://europepmc.org/articles/PMC7173157
http://europepmc.org/articles/PMC7173157
Autor:
Esin Dogantekin, Duygu Çalişir
Publikováno v:
Expert Systems with Applications. 38:10705-10708
In this study, a method based on Principle Component Analysis and Least Square Support Vector Machine Classifier for Expert Hepatitis Diagnosis System (PCA-LSSVM) is introduced. This intelligent diagnosis system deals with combination of the feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc8cc75eb91ef4c73360c1b1d67e5154
https://doi.org/10.1016/j.eswa.2011.01.014
https://doi.org/10.1016/j.eswa.2011.01.014
Autor:
Esin Dogantekin, Duygu Çalişir
Publikováno v:
Expert Systems with Applications. 38:8311-8315
In this paper, an automatic diagnosis system for diabetes on Linear Discriminant Analysis (LDA) and Morlet Wavelet Support Vector Machine Classifier: LDA-MWSVM is introduced. The structure of this automatic system based on LDA-MWSVM for the diagnosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba340d381fdb69338c51951be3695e58
https://doi.org/10.1016/j.eswa.2011.01.017
https://doi.org/10.1016/j.eswa.2011.01.017
Publikováno v:
Expert Systems with Applications. 38:146-150
Nowadays, there are many persons, which suffer from thyroid diseases. Therefore, the correct diagnosis of these diseases are very important topic. In this study, a Generalized Discriminant Analysis and Wavelet Support Vector Machine System (GDA_WSVM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::949490c199a7a07a46ec53bba9be5da3
https://doi.org/10.1016/j.eswa.2010.06.029
https://doi.org/10.1016/j.eswa.2010.06.029
Publikováno v:
Expert Systems with Applications. 37:6368-6372
In this paper, the automatic diagnosis system based on thyroid gland (ADSTG) method is introduced for diagnosis of thyroid disease. The structure of this ADSTG diagnosis system for thyroid diseases contains three stages. In first stage, the feature r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05940228e2f47334fdfda70b8c8cbb53
https://doi.org/10.1016/j.eswa.2010.02.083
https://doi.org/10.1016/j.eswa.2010.02.083
Publikováno v:
Digital Signal Processing. 20:1248-1255
In this study, an intelligent diagnosis system for diabetes on Linear Discriminant Analysis (LDA) and Adaptive Network Based Fuzzy Inference System (ANFIS): LDA-ANFIS is presented. The structure of this LDA-ANFIS intelligent system for diagnosis of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8b8f2c46d35e43023d38be9afe3ceba
https://doi.org/10.1016/j.dsp.2009.10.021
https://doi.org/10.1016/j.dsp.2009.10.021
Publikováno v:
Expert Systems with Applications. 35:728-738
In this study, we propose a robust technique based on invariant moments - adaptive network based fuzzy inference system (IM-ANFIS). In this technique, some digital image processing methods such as noise reduction, contrast enhancement, segmentation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a1c2b0350c51dcab849e135729eea2
https://doi.org/10.1016/j.eswa.2007.07.020
https://doi.org/10.1016/j.eswa.2007.07.020