Ahmet Saygili

16 papers C 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
MOD-YOLOv8: a new YOLOv8-based model for meniscal tear detection in knee MRI.
PeerJ Comput. Sci.
Mehmet Ali Simsek, Hadi Sasani, Yasar Mahsut Dinçel, Ahmet Saygili, Fatih Uysal, Ahmet Sertbas
2025 J jnl
Deep learning-based histopathological classification of breast tumors: a multi-magnification approach with state-of-the-art models.
Signal Image Video Process.
Gizem Irmak, Ahmet Saygili
2025 J jnl
Enhancing Retinal Disease Detection With the Swin Transformer: A Comprehensive Comparative Analysis.
Concurr. Comput. Pract. Exp.
Ahmet Saygili, Ömer Mutlu Atici
2025 J jnl
Hybrid few-shot learning and vision transformer approaches for the diagnosis of Monkeypox.
Signal Image Video Process.
Hilal Güven, Ahmet Saygili
2025 J jnl
Performance of machine learning methods for cattle identification and recognition from retinal images.
Appl. Intell.
Pinar Cihan, Ahmet Saygili, Muhammed Akyüzlü, Nihat Eren Özmen, Celal Sahin Ermutlu, Ugur Aydin, Alican Yilmaz, Özgür Aksoy
2024 J jnl
A new approach for automatic classification of non-Hodgkin lymphoma using deep learning and classical learning methods on histopathological images.
Neural Comput. Appl.
Emine Özgür, Ahmet Saygili
2024 J jnl
AI-aided cardiovascular disease diagnosis in cattle from retinal images: Machine learning vs. deep learning models.
Comput. Electron. Agric.
Pinar Cihan, Ahmet Saygili, Celal Sahin Ermutlu, Ugur Aydin, Özgür Aksoy
2024 J jnl
CattNIS: Novel identification system of cattle with retinal images based on feature matching method.
Comput. Electron. Agric.
Ahmet Saygili, Pinar Cihan, Celal Sahin Ermutlu, Ugur Aydin, Özgür Aksoy
2021 J jnl
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods.
Appl. Soft Comput.
Ahmet Saygili
2019 J jnl
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images.
Artif. Intell. Medicine
Ahmet Saygili, Songül Albayrak
2018 — conf
Meniscus tear classification using histogram of oriented gradients in knee MR images.
SIU
Ahmet Saygili, Songul Albayrak
2017 — —
MR görüntülerinde menisküslerin segmentasyonu ve menisküs yırtıklarının tespiti (Meniscus segmentation and detection of meniscus tears in MR images)
Ahmet Saygili
2017 — conf
Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method.
SIU
Ahmet Saygili, Songul Albayrak
2016 — conf
Automatic detection of meniscal area in the knee MR images.
SIU
Ahmet Saygili, Heysem Kaya, Songul Albayrak
2015 C conf
Comparative analysis of codeword representation by clustering methods for the classification of histological tissue types.
ICMV
Ahmet Saygili, Gunalp Uysal, Gokhan Bilgin
2013 — conf
Faculty of engineering students' success analysis with clustering methods.
SIU
Ahmet Saygili, Songul Albayrak