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Ahmet SAYGILI
Ahmet SAYGILI
Bilgisayar Mühendisliği Bölümü, Tekirdağ Namık Kemal Üniversitesi
Verified email at nku.edu.tr - Homepage
Title
Cited by
Cited by
Year
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
A Saygılı
Applied Soft Computing 105, 107323, 2021
1222021
Classification and diagnostic prediction of breast cancers via different classifiers
A Saygili
International Scientific and Vocational Studies Journal 2 (2), 48-56, 2018
522018
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images
A Saygılı, S Albayrak
Artificial Intelligence in Medicine 97, 118-130, 2019
262019
Computer-aided detection of COVID-19 from CT images based on Gaussian mixture model and kernel support vector machines classifier
A Saygılı
Arabian Journal for Science and Engineering 47 (2), 2435-2453, 2022
222022
A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images
A Saygılı, S Albayrak
Biocybernetics and Biomedical Engineering 37 (3), 432-442, 2017
202017
Knee Meniscus Segmentation and Tear Detection from MRI: A Review
A Saygılı, S Albayrak
Current Medical Imaging 16 (1), 2-15, 2020
142020
Tomato leaf disease detection and classification using convolutional neural networks
G Irmak, A Saygili
2020 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-5, 2020
132020
Automatic detection of meniscal area in the knee MR images
A Saygili, H Kaya, S Albayrak
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
92016
Veri madenciliği ile mühendislik fakültesi öğrencilerinin okul başarılarının analizi
A Saygili
Fen Bilimleri Enstitüsü, 2013
72013
Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method
A Saygili, S Albayrak
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
62017
Meniscus tear classification using histogram of oriented gradients in knee MR images
A Saygili, S Albayrak
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
52018
A NOVEL APPROACH TO HEART ATTACK PREDICTION IMPROVEMENT VIA EXTREME LEARNING MACHINES CLASSIFIER INTEGRATED WITH DATA RESAMPLING STRATEGY
A SAYGILI
Konya Mühendislik Bilimleri Dergisi 8 (4), 853-865, 2020
42020
Automated diagnosis of meniscus tears from MRI of the knee
A SAYGILI, S VARLI
International Scientific and Vocational Studies Journal 3 (2), 92-104, 2019
42019
HİYERARŞİK KÜMELEME MODELİ KULLANAN WEB TABANLI BİR ÖDEV DEĞERLENDİRME SİSTEMİ
U Erdinç, C ERDOĞAN, A SAYGILI
Ejovoc (Electronic Journal of Vocational Colleges) 6 (3), 87-98, 2016
42016
Analysis and Segmentation of X-ray Images of COVID-19 Patients using the k-means Algorithm
A SAYGILI
Veri Bilimi 4 (3), 1-6, 2021
32021
The efficiency of transfer learning and data augmentation in lemon leaf image classification
A SAYGILI
European Journal of Engineering and Applied Sciences 6 (1), 32-40, 2023
12023
Comparative analysis of codeword representation by clustering methods for the classification of histological tissue types
A Saygili, G Uysal, G Bilgin
Eighth International Conference on Machine Vision (ICMV 2015) 9875, 163-168, 2015
12015
Faculty of engineering students' success analysis with clustering methods
A Saygili, S Albayrak
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
12013
A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks
G IRMAK, A SAYGILI
Journal of Agricultural Sciences 30 (2), 367-385, 2024
2024
Rapid and Precise Identification of COVID-19 through Segmentation and Classification of CT and X-ray Images
A SAYGILI
Sakarya University Journal of Computer and Information Sciences 6 (2), 123-139, 2023
2023
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