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Mesut Toğaçar
Mesut Toğaçar
Assoc. Prof., Management Information Systems, Fırat University
Verified email at firat.edu.tr - Homepage
Title
Cited by
Cited by
Year
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
M Toğaçar, B Ergen, Z Cömert
Computers in biology and medicine 121, 103805, 2020
5582020
A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
M Toğaçar, B Ergen, Z Cömert
IRBM 41 (4), 212-220, 2020
2402020
BrainMRNet: Brain Tumor Detection using Magnetic Resonance Images with a Novel Convolutional Neural Network Model
M Toğaçar, B Ergen, Z Cömert
Medical Hypotheses, 109531, 2020
2132020
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
M Toğaçar, KB Özkurt, B Ergen, Z Cömert
Physica A: Statistical Mechanics and its Applications, 2020
1992020
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
M Toğaçar, B Ergen, Z Cömert
Biocybernetics and Biomedical Engineering, 2020
1582020
Classification of Brain MRI Using Hyper Column Technique with Convolutional Neural Network and Feature Selection Method
M Toğaçar, Z Cömert, B Ergen, F Özyurt
Expert Systems with Applications, 2020
1112020
Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks
M Toğaçar, Z Cömert, B Ergen
Chaos, Solitons & Fractals 144, 110714, 2021
1092021
Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
M Toğaçar, B Ergen, Z Cömert
Measurement 153, 107459, 2020
962020
Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer …
M Toğaçar, B Ergen, Z Cömert
Medical Hypotheses, 109503, 2020
912020
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
M Toğaçar, B Ergen, Z Cömert
Applied Soft Computing 97, 106810, 2020
842020
Disease Type Detection in Lung and Colon Cancer Images Using the Complement Approach of Inefficient Sets
M Toğaçar
Computers in Biology and Medicine, 104827, 2021
642021
Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
M Toğaçar, B Ergen, Z Cömert
Measurement 158, 107703, 2020
622020
Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks
M Toğaçar, B Ergen, Z Cömert
Medical & Biological Engineering & Computing, 1-14, 2021
502021
A novel application based on spectrogram and convolutional neural network for ECG classification
A Diker, Z Cömert, E Avcı, M Toğaçar, B Ergen
2019 1st International Informatics and Software Engineering Conference …, 2019
462019
Subclass Separation of White Blood Cell Images Using Convolutional Neural Network Models
M Toğaçar, B Ergen, ME Sertkaya
Elektronika ir Elektrotechnika 25 (5), 63-68, 2019
442019
Diagnosis of Eye Retinal Diseases Based on Convolutional Neural Networks Using Optical Coherence Images
ME Sertkaya, B Ergen, M Toğaçar
23rd International Conference Electronics, 1-5, 2019
372019
Deep learning approach for classification of breast cancer
M Toğaçar, B Ergen
2018 International Conference on Artificial Intelligence and Data Processing …, 2018
372018
Zatürre Hastalığının Derin Öğrenme Modeli ile Tespiti
M Toğaçar, B Ergen, ME Sertkaya
Fırat Üniversitesi Mühendislik Bilimleri Dergisi 31 (1), 223-230, 2019
352019
Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs
M Toğaçar, N Muzoğlu, B Ergen, BSB Yarman, AM Halefoğlu
Biomedical Signal Processing and Control 71, 103128, 2022
342022
Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals
W Alsaggaf, Z Cömert, M Nour, K Polat, H Brdesee, M Toğaçar
Applied Acoustics 167, 107429, 2020
342020
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