Lung Cancer Detection Based On CT-Scan Images With Detection Features Using Gray Level Co-Occurrence Matrix (GLCM) and Support Vector Machine (SVM) Methods-Reference-Cited by-同舟云学术

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Lung Cancer Detection Based On CT-Scan Images With Detection Features Using Gray Level Co-Occurrence Matrix (GLCM) and Support Vector Machine (SVM) Methods

Published:2020-09 Issue: Volume: Page:
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Container-title:2020 International Electronics Symposium (IES)
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Author:

Firdaus Qurina,Sigit Riyanto,Harsono Tri,Anwar Anwar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9222393/9231521/09231663.pdf?arnumber=9231663

Cited by 13 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. Lung Cancer Detection Using VGG16 and CNN;2023 IEEE World Conference on Applied Intelligence and Computing (AIC);2023-07-29

2. Lung cancer detection using novel residual unity AlexNet-based optimized mish dropout-deep convolutional neural network;Soft Computing;2023-07-22

3. Lung Cancer Detection using Textural Features;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23

4. Artificial Intelligence Techniques and Methodology Available for Lung Cancer Detection;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

5. A Systematic Review of Modern Approaches in Healthcare Systems for Lung Cancer Detection and Classification;Archives of Computational Methods in Engineering;2023-05-27

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