Attention-based end-to-end CNN framework for content-based X-ray image retrieval
Yıl: 2021 Cilt: 29 Sayı: Özel sayı 1 Sayfa Aralığı: 2680 - 2693 Metin Dili: İngilizce DOI: 10.3906/elk-2105-242 İndeks Tarihi: 29-06-2022
Attention-based end-to-end CNN framework for content-based X-ray image retrieval
Öz: The widespread use of medical imaging devices allows deep analysis of diseases. However, the task of
examining medical images increases the burden of specialist doctors. Computer-assisted systems provide an effective
management tool that enables these images to be analyzed automatically. Although these tools are used for various
purposes, today, they are moving towards retrieval systems to access increasing data quickly. In hospitals, the need
for content-based image retrieval systems is seriously evident in order to store all images effectively and access them
quickly when necessary. In this study, an attention-based end-to-end convolutional neural network (CNN)framework that
can provide effective access to similar images from a large X-ray dataset is presented. In the first part of the proposed
framework, a fully convolutional network architecture with attention structures is presented. This section contains several
layers for determining the saliency points of X-ray images. In the second part of the framework, the modified image with
X-ray saliency map is converted to representative codes in Euclidean space by the ResNet-18 architecture. Finally, hash
codes are obtained by transforming these codes into hamming spaces. The proposed study is superior in terms of high
performance and customized layers compared to current state-of-the-art X-ray image retrieval methods in the literature.
Extensive experimental studies reveal that the proposed framework can increase the current precision performance by
up to 13
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | ÖZTÜRK Ş, Alhudhaif A, Polat K (2021). Attention-based end-to-end CNN framework for content-based X-ray image retrieval. , 2680 - 2693. 10.3906/elk-2105-242 |
| Chicago | ÖZTÜRK Şaban,Alhudhaif Adi,Polat Kemal Attention-based end-to-end CNN framework for content-based X-ray image retrieval. (2021): 2680 - 2693. 10.3906/elk-2105-242 |
| MLA | ÖZTÜRK Şaban,Alhudhaif Adi,Polat Kemal Attention-based end-to-end CNN framework for content-based X-ray image retrieval. , 2021, ss.2680 - 2693. 10.3906/elk-2105-242 |
| AMA | ÖZTÜRK Ş,Alhudhaif A,Polat K Attention-based end-to-end CNN framework for content-based X-ray image retrieval. . 2021; 2680 - 2693. 10.3906/elk-2105-242 |
| Vancouver | ÖZTÜRK Ş,Alhudhaif A,Polat K Attention-based end-to-end CNN framework for content-based X-ray image retrieval. . 2021; 2680 - 2693. 10.3906/elk-2105-242 |
| IEEE | ÖZTÜRK Ş,Alhudhaif A,Polat K "Attention-based end-to-end CNN framework for content-based X-ray image retrieval." , ss.2680 - 2693, 2021. 10.3906/elk-2105-242 |
| ISNAD | ÖZTÜRK, Şaban vd. "Attention-based end-to-end CNN framework for content-based X-ray image retrieval". (2021), 2680-2693. https://doi.org/10.3906/elk-2105-242 |
| APA | ÖZTÜRK Ş, Alhudhaif A, Polat K (2021). Attention-based end-to-end CNN framework for content-based X-ray image retrieval. Turkish Journal of Electrical Engineering and Computer Sciences, 29(Özel sayı 1), 2680 - 2693. 10.3906/elk-2105-242 |
| Chicago | ÖZTÜRK Şaban,Alhudhaif Adi,Polat Kemal Attention-based end-to-end CNN framework for content-based X-ray image retrieval. Turkish Journal of Electrical Engineering and Computer Sciences 29, no.Özel sayı 1 (2021): 2680 - 2693. 10.3906/elk-2105-242 |
| MLA | ÖZTÜRK Şaban,Alhudhaif Adi,Polat Kemal Attention-based end-to-end CNN framework for content-based X-ray image retrieval. Turkish Journal of Electrical Engineering and Computer Sciences, vol.29, no.Özel sayı 1, 2021, ss.2680 - 2693. 10.3906/elk-2105-242 |
| AMA | ÖZTÜRK Ş,Alhudhaif A,Polat K Attention-based end-to-end CNN framework for content-based X-ray image retrieval. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(Özel sayı 1): 2680 - 2693. 10.3906/elk-2105-242 |
| Vancouver | ÖZTÜRK Ş,Alhudhaif A,Polat K Attention-based end-to-end CNN framework for content-based X-ray image retrieval. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(Özel sayı 1): 2680 - 2693. 10.3906/elk-2105-242 |
| IEEE | ÖZTÜRK Ş,Alhudhaif A,Polat K "Attention-based end-to-end CNN framework for content-based X-ray image retrieval." Turkish Journal of Electrical Engineering and Computer Sciences, 29, ss.2680 - 2693, 2021. 10.3906/elk-2105-242 |
| ISNAD | ÖZTÜRK, Şaban vd. "Attention-based end-to-end CNN framework for content-based X-ray image retrieval". Turkish Journal of Electrical Engineering and Computer Sciences 29/Özel sayı 1 (2021), 2680-2693. https://doi.org/10.3906/elk-2105-242 |
