Automatic Segmentation of COVID-19 Infection on Lung CT Scans using Mask R-CNN-Reference-Cited by-同舟云学术

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Automatic Segmentation of COVID-19 Infection on Lung CT Scans using Mask R-CNN

Published:2022-06-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Dandil Emre¹,Yildirim Mehmet Suleyman²

Affiliation:

1. Bilecik Seyh Edebali University,Department of Computer Engineering,Bilecik,Turkey

2. Sogut Vocational School, Bilecik Seyh Edebali University,Department of Computer Technology of,Bilecik,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9799780/9799803/09800029.pdf?arnumber=9800029

Reference29 articles.

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

2. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

3. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

4. Very deep convolutional networks for large-scale image recognition;simonyan;ArXiv Preprint,2014

5. Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing COVID-19 Diagnosis with CNNs: An Empirical Study of Learning Rates and Optimization Strategies;Intelligent Control and Automation;2023

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