Abdulkadir Albayrak

According to our database, Abdulkadir Albayrak authored at least 19 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features.

Nurullah Çalik, Abdulkadir Albayrak, Asli Unlu Akhan, Ilknur Türkmen, Abdulkerim Çapar, Behcet Ugur Töreyin, Gokhan Bilgin, Bahar Muezzinoglu, Lutfiye Durak-Ata

IEEE J. Biomed. Health Informatics, April, 2023

2022

Detection of mitotic cells in breast cancer histopathological images using deep versus handcrafted features.

Ibrahim Onur Sigirci, Abdulkadir Albayrak, Gokhan Bilgin

Multim. Tools Appl., 2022

Classification of analyzable metaphase images using transfer learning and fine tuning.

Abdulkadir Albayrak

Medical Biol. Eng. Comput., 2022

2021

A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability.

Abdulkadir Albayrak, Asli Unlu Akhan, Nurullah Çalik, Abdulkerim Çapar, Gokhan Bilgin, Behcet Ugur Töreyin, Bahar Muezzinoglu, Ilknur Türkmen, Lutfiye Durak-Ata

Medical Biol. Eng. Comput., 2021

2019

Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms.

Abdulkadir Albayrak, Gokhan Bilgin

Medical Biol. Eng. Comput., 2019

Metaphase finding with deep convolutional neural networks.

Yaser Moazzen, Abdulkerim Çapar, Abdulkadir Albayrak, Nurullah Çalik, Behcet Ugur Töreyin

Biomed. Signal Process. Control., 2019

Automatic Nuclei Detection in Histopathological Images based on Convolutional Neural Networks.

Roaa Safi Abed Alah, Gokhan Bilgin, Abdulkadir Albayrak

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2018

Histopatolojik görüntülerin makine öğrenmesi yöntemleri ile analizi (Analysis of histopathological images via machine learning methods)

Abdulkadir Albayrak

PhD thesis, 2018

A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability.

Abdulkadir Albayrak, Asli Unlu, Nurullah Çalik, Abdulkerim Çapar, Gokhan Bilgin, Behcet Ugur Töreyin, Bahar Muezzinoglu, Ilknur Türkmen, Lutfiye Durak-Ata

CoRR, 2018

Classification of tumor regions in histopathological images using convolutional neural networks.

Koray Gunduz, Abdulkadir Albayrak, Gokhan Bilgin, M. Elif Karsligil

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A Hybrid Method of Superpixel Segmentation Algorithm and Deep Learning Method in Histopathological Image Segmentation.

Abdulkadir Albayrak, Gökhan Bilgin

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

2017

Superpixel-based segmentation of glottal area from videolaryngoscopy images.

H. Irem Türkmen, Abdulkadir Albayrak, M. Elif Karsligil, Ismail Kocak

J. Electronic Imaging, 2017

Segmentation of precursor lesions in cervical cancer using convolutional neural networks.

Abdulkadir Albayrak, Asli Unlu, Nurullah Çalik, Gokhan Bilgin, Ilknur Türkmen, Asli Çakir, Abdulkerim Çapar, Behcet Ugur Töreyin, Lutfiye Durak-Ata

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Superpixel approach in high resolution histopathological image segmentation.

Abdulkadir Albayrak, Gokhan Bilgin

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016

Effects of color spaces to the cell segmentation in histopathological images.

Abdulkadir Albayrak, Gokhan Bilgin

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015

Detection of mitotic cells using completed local binary pattern in histopathological images.

Ibrahim Onur Sigirci, Abdulkadir Albayrak, Gokhan Bilgin

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2013

Evaluation of robustness of ensemble learners to noisy data.

Abdulkadir Albayrak, M. Özgür Cingiz, Mehmet Fatih Amasyali

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Detection of mitotic cells in histopathological images using textural features.

Abdulkadir Albayrak, Gökhan Bilgin

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Breast cancer mitosis detection in histopathological images with spatial feature extraction.

Abdulkadir Albayrak, Gökhan Bilgin

Proceedings of the Sixth International Conference on Machine Vision, 2013