Search Results - "Toğaçar, Mesut"

Disease type detection in lung and colon cancer images using the complement approach of inefficient sets by Toğaçar, Mesut

“…Lung and colon cancers are deadly diseases that can develop simultaneously in organs and adversely affect human life in some special cases. Although the…”
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COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can infect both humans and animal species. It often causes…”
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Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images by Toğaçar, Mesut

“…•The aim of the study is to determine the stages of Retinopathy.•Processing images with Morphological Gradient and Segmentation methods.•Obtaining class based…”
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Detection of segmented uterine cancer images by Hotspot Detection method using deep learning models, Pigeon-Inspired Optimization, types-based dominant activation selection approaches by Toğaçar, Mesut

“…Uterine cancer consists of cells of a layer that forms the inside of the uterus. Sometimes, as a result of abnormal growth of normal cells, it can damage the…”
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BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…[Display omitted] •The classification was performed by using brain tumor magnetic resonance images.•We come up with a novel deep learning model (BrainMRNet)…”
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Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks by Toğaçar, Mesut, Cömert, Zafer, Ergen, Burhan

“…•In this study, skin tumor images were classified as benign and malignant.•The dataset has been rebuilt by the Autoencoder model.•In the study, the MobileNetV2…”
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Using DarkNet models and metaheuristic optimization methods together to detect weeds growing along with seedlings by Toğaçar, Mesut

“…Agriculture directly affects the economic conditions of countries around the world; it is a sector that determines the prosperity and standard of living of…”
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Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…White blood cells are cells in the blood and lymph tissue produced by the bone marrow in the human body. White blood cells are an important part of the immune…”
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BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer by Toğaçar, Mesut, Özkurt, Kutsal Baran, Ergen, Burhan, Cömert, Zafer

“…Breast cancer is one of the most commonly diagnosed cancer types in the woman and automatically classifying breast cancer histopathological images is an…”
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Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files by Toğaçar, Mesut, Ergen, Burhan

“…Portable Document Format (PDF) is a file format created to create portable and printable documents across platforms. PDF files are one of the most widely used…”
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Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…Brain cancer is a disease caused by the growth of abnormal aggressive cells in the brain outside of normal cells. Symptoms and diagnosis of brain cancer cases…”
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Detecting attacks on IoT devices with probabilistic Bayesian neural networks and hunger games search optimization approaches by Toğaçar, Mesut

“…Technologies that enable physical objects to communicate with each other are attracting a lot of interest day by day. Internet of Things (IoT) is a…”
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Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…[Display omitted] •Classification of organic and recyclable wastes with deep learning models.•We extracted and combined the features from the layer of…”
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Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…[Display omitted] •Classification of invasive breast cancer images by CNN models.•Features extracted from the FC8, Loss3 and FC1000 layers of CNN models were…”
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Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…Lung cancer is a disease caused by the involuntary increase of cells in the lung tissue. Early detection of cancerous cells is of vital importance in the lungs…”
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Classification of cloud images by using super resolution, semantic segmentation approaches and binary sailfish optimization method with deep learning model by Toğaçar, Mesut, Ergen, Burhan

“…[Display omitted] •In this study, the classification of cloud types was performed.•Super Resolution and Semantic Segmentation were used for image enhancement…”
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Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method by Toğaçar, Mesut, Cömert, Zafer, Ergen, Burhan

“…•A novel deep CNN model equipped with the hypercolumn masking technique is proposed for brain tumor MRI classification.•The fused deep feature set is…”
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Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…[Display omitted] •CNN models were used for the classification of flower species in this study.•Combining features from the CNN models common layer increased…”
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Measuring the Security Effectiveness of Machine Learning Methods Used Against Cyber Attacks in Web Applications by TOĞAÇAR, Mesut

“…The rapid progress of technological developments in the global world, the people to closely follow these developments and share them have become the focus of…”
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Detection of weather images by using spiking neural networks of deep learning models by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…The transmission of weather information of a location at certain time intervals affects the living conditions of the people there directly or indirectly…”
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