Lung Cancer Diagnosis and Classification Using Hybrid Neural Network Techniques
Author:
Affiliation:
1. Francis Xavier Engineering College,Department of Computer Science and Business Systems,Tirunelveli,Tamil Nadu
2. Francis Xavier Engineering College,Department of Electronics and Communication Engineering,Tirunelveli,Tamil Nadu
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370424.pdf?arnumber=10370424
Reference12 articles.
1. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
2. Comprehensive analysis o flung cancer pathology images to discover tumor shape and boundary features that predict survival outcome;Liu;Scientific Reports,2019
3. Development and validation of a deep learning system for lung nodule classification in chest radiographs;Liang;Radiology,2020
4. Lung nodule classification using deep feature fusion in chest radiography;Huang;Computers in Biology and Medicine,2019
5. Towards automatic pulmonary nodule management in lung cancer screening with deep learning
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