Ahmet SAYGILI
Title
Cited by
Cited by
Year
Classification and diagnostic prediction of breast cancers via different classifiers
A SAYGILI
International Scientific and Vocational Studies Journal 2 (2), 48-56, 2018
172018
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
122017
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
82019
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
72016
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
Knee Meniscus Segmentation and Tear Detection from MRI: A Review
A Saygılı, S Albayrak
Current Medical Imaging 16 (1), 2-15, 2020
32020
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
32018
Veri madenciliği ile mühendislik fakültesi öğrencilerinin okul başarılarının analizi
A Saygılı
22013
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
1*2020
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, 98750U, 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 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
2021
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
2020
AKILLI DERS YÖNETİM SİSTEMİ İLE PROGRAMLAMA ÖDEVLERİ İÇİN İNTİHAL TESPİTİ UYGULAMASI
E Uzun, C Erdoğan, A Saygılı
Tekirdağ Namık Kemal Üniversitesi, 2015
2015
Automated Diagnosis of Meniscus Tears from MRI of the Knee
A SAYGILI, S VARLI
International Scientific and Vocational Studies Journal 3 (2), 92-104, 0
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, 0
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Articles 1–16