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Mesut Togacar

Explore the profile of Mesut Togacar including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 9
Citations 285
Followers 0
Related Specialties
General Medicine
Medical Informatics
Biology
Co-Authors
Burhan Ergen
Zafer Comert
Mehmet Agar
Siyami Aydin
Muharrem Cakmak
Mustafa Koc
Ahmet Mesrur Halefoglu
Bekir Siddik Binboga Yarman
Nedim Muzoglu
Published In
Comput Biol Med
Med Hypotheses
Diagnostics (Basel)
Biomed Signal Process Control
Comput Methods Programs Biomed
Affiliations
Soon will be listed here.
Recent Articles
1.
Detection of Aspergilloma Disease Using Feature-Selection-Based Vision Transformers
Aydin S, Agar M, Cakmak M, Koc M, Togacar M
Diagnostics (Basel) . 2025 Jan; 15(1. PMID: 39795554
: Aspergilloma disease is a fungal mass found in organs such as the sinuses and lungs, caused by the fungus . This disease occurs due to the accumulation of mucus,...
2.
Detection of Thymoma Disease Using mRMR Feature Selection and Transformer Models
Agar M, Aydin S, Cakmak M, Koc M, Togacar M
Diagnostics (Basel) . 2024 Oct; 14(19). PMID: 39410573
Background: Thymoma is a tumor that originates in the thymus gland, a part of the human body located behind the breastbone. It is a malignant disease that is rare in...
3.
Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images
Togacar M
Comput Methods Programs Biomed . 2021 Dec; 214:106579. PMID: 34896689
Background And Objective: Diabetes-related cases can cause glaucoma, cataracts, optic neuritis, paralysis of the eye muscles, or various retinal damages over time. Diabetic retinopathy is the most common form of...
4.
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets
Togacar M
Comput Biol Med . 2021 Sep; 137:104827. PMID: 34560401
Lung and colon cancers are deadly diseases that can develop simultaneously in organs and adversely affect human life in some special cases. Although the frequency of simultaneous occurrence of these...
5.
Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs
Togacar M, Muzoglu N, Ergen B, Yarman B, Halefoglu A
Biomed Signal Process Control . 2021 Sep; 71:103128. PMID: 34490055
Covid-19 is a disease that affects the upper and lower respiratory tract and has fatal consequences in individuals. Early diagnosis of COVID-19 disease is important. Datasets used in this study...
6.
Detection of segmented uterine cancer images by Hotspot Detection method using deep learning models, Pigeon-Inspired Optimization, types-based dominant activation selection approaches
Togacar M
Comput Biol Med . 2021 Jul; 136:104659. PMID: 34329863
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 surrounding...
7.
Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks
Togacar M, Ergen B, Comert Z
Med Biol Eng Comput . 2020 Nov; 59(1):57-70. PMID: 33222016
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 are producing more...
8.
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Togacar M, Ergen B, Comert Z
Comput Biol Med . 2020 Jun; 121:103805. PMID: 32568679
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 pneumonia in humans. Artificial intelligence...
9.
BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model
Togacar M, Ergen B, Comert Z
Med Hypotheses . 2019 Dec; 134:109531. PMID: 31877442
A brain tumor is a mass that grows unevenly in the brain and directly affects human life. This mass occurs spontaneously because of the tissues surrounding the brain or the...
10.
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
Togacar M, Ergen B, Comert Z
Med Hypotheses . 2019 Nov; 135:109503. PMID: 31760247
Invasive ductal carcinoma cancer, which invades the breast tissues by destroying the milk channels, is the most common type of breast cancer in women. Approximately, 80% of breast cancer patients...