A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images-Reference-Cited by-同舟云学术

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A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images

Published:2021-03-08 Issue:S2 Volume:24 Page:117-123
ISSN:1601-6335
Container-title:Orthodontics & Craniofacial Research
language:en
Short-container-title:Orthod Craniofacial Res

Author:

Sin Çağla¹^ORCID,Akkaya Nurullah²,Aksoy Seçil³,Orhan Kaan⁴⁵,Öz Ulaş¹^ORCID

Affiliation:

1. Faculty of Dentistry Department of Orthodontics Near East University Mersin10 Turkey

2. Department of Computer Engineering Applied Artificial Intelligence Research Centre Near East University Mersin10 Turkey

3. Faculty of Dentistry Department of Dentomaxillofacial Radiology Near East University Mersin10 Turkey

4. Faculty of Dentistry Department of Dentomaxillofacial Radiology Ankara University Ankara Turkey

5. Medical Design Application and Research Center (MEDITAM) Ankara University Ankara Turkey

Publisher

Wiley

Subject

Otorhinolaryngology,Oral Surgery,Surgery,Orthodontics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ocr.12480

Reference34 articles.

1. Deep Learning: A Primer for Radiologists

2. Deep learning

3. Machine Learning for Medical Imaging

4. ImageNet classification with deep convolutional neural networks

5. U-Net: Convolutional Networks for Biomedical Image Segmentation

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