Comparative Study of EfficientNet and MobileNet Models for Lung Cancer Classification Using Chest CT Scan Images-Reference-Cited by-同舟云学术

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Comparative Study of EfficientNet and MobileNet Models for Lung Cancer Classification Using Chest CT Scan Images

Published:2024-02-22 Issue: Volume:13 Page:1-6
ISSN:
Container-title:2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
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Author:

M Muthulakshmi¹,Venkatesan K.²,R Harigaran³,K Jeevanantham³,P Sri Varshan³,MS Vineeth³,Rahayu Syarifah Bahiyah²,V Sakthivel³

Affiliation:

1. Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus,Department of ECE

2. National Defence University Malaysia (UPNM),Faculty of Defense Science and Technology,Department of Science Defense,Malaysia

3. Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai Campus,Department of CSE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493200/10493145/10493412.pdf?arnumber=10493412

Reference21 articles.

1. Automated Classification of Lung Cancer Subtypes Using Deep Learning and CT-Scan Based Radiomic Analysis

2. Implementation of Image Processing Techniques for Identifying Different Stages of Lung Cancer;Anjali;International Journal of Applied Engineering Research,2018

3. An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network

4. Automatic Lung Cancer Prediction from Chest X-ray Images Using the Deep Learning Approach

5. Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images

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