scholarly journals Correction to: Automatic Airway Segmentation in Chest CT Using Convolutional Neural Networks

2018 ◽  
pp. C1-C1
Author(s):  
Antonio Garcia-Uceda Juarez ◽  
H. A. W. M. Tiddens ◽  
M. de Bruijne
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Chest Ct ◽  
Airway Segmentation

COVID-19 image transmission using convolutional neural networks based algorithms for medical applications

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gangadhar Ch ◽  
Nama Ajay Nagendra ◽  
Syed Mutahar Aaqib ◽  
C.M. Sulaikha ◽  
Shaheena Kv ◽  
...  
Keyword(s):  
Neural Networks ◽  
Information Systems ◽  
Ct Scan ◽  
Health Information ◽  
Convolutional Neural Networks ◽  
Health Information Systems ◽  
Ct Images ◽  
Chest Ct ◽  
Content Type ◽  
Chest Ct Scan

Purpose COVID-19 would have a far-reaching impact on the international health-care industry and the patients. For COVID-19, there is a need for unique screening tests to reliably and rapidly determine who is infected. Medical COVID images protection is critical when data pertaining to computer images are being transmitted through public networks in health information systems. Design/methodology/approach Medical images such as computed tomography (CT) play key role in the diagnosis of COVID-19 patients. Neural networks-based methods are designed to detect COVID patients using chest CT scan images. And CT images are transmitted securely in health information systems. Findings The authors hereby examine neural networks-based COVID diagnosis methods using chest CT scan images and secure transmission of CT images for health information systems. For screening patients infected with COVID-19, a new approach using convolutional neural networks is proposed, and its output is simulated. Originality/value The required patient’s chest CT scan images have been taken from online databases such as GitHub. The experiments show that neural networks-based methods are effective in the diagnosis of COVID-19 patients using chest CT scan images.

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT

2019 ◽  
Vol 23 (5) ◽  
pp. 2080-2090 ◽  
Author(s):  
Aria Pezeshk ◽  
Sardar Hamidian ◽  
Nicholas Petrick ◽  
Berkman Sahiner
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Pulmonary Nodules ◽  
Automatic Detection ◽  
Chest Ct

Automatic upper airway segmentation in static and dynamic MRI via anatomy‐guided convolutional neural networks

2021 ◽  
Author(s):  
Lipeng Xie ◽  
Jayaram K. Udupa ◽  
Yubing Tong ◽  
Drew A. Torigian ◽  
Zihan Huang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Upper Airway ◽  
Dynamic Mri ◽  
Airway Segmentation
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