Ahmet Saygili - researchr alias

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Viewing Publication 1 - 8 from 8

2021

A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methodsAhmet Saygili. asc, 105:107323, 2021. [doi]

2019

An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance imagesAhmet Saygili, Songül Albayrak. artmed, 97:118-130, 2019. [doi]

2018

Meniscus tear classification using histogram of oriented gradients in knee MR imagesAhmet Saygili, Songul Albayrak. siu 2018: 1-4 [doi]

2017

Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means methodAhmet Saygili, Songul Albayrak. siu 2017: 1-4 [doi]

MR görüntülerinde menisküslerin segmentasyonu ve menisküs yırtıklarının tespiti (Meniscus segmentation and detection of meniscus tears in MR images)Ahmet Saygili. PhD thesis, Yıldız Technical University, Turkey, 2017. [doi]

2016

Automatic detection of meniscal area in the knee MR imagesAhmet Saygili, Heysem Kaya, Songul Albayrak. siu 2016: 1337-1340 [doi]

2015

Comparative analysis of codeword representation by clustering methods for the classification of histological tissue typesAhmet Saygili, Gunalp Uysal, Gokhan Bilgin. icmv 2015: [doi]

2013

Faculty of engineering students' success analysis with clustering methodsAhmet Saygili, Songul Albayrak. siu 2013: 1-4 [doi]

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