Efficient Lung Cancer Detection Based on Support Scalar Vector Feature Selection with Fuzzy Optimized-Multi Perceptron Neural Network Using Natural Language Processing-Reference-Cited by-同舟云学术

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Efficient Lung Cancer Detection Based on Support Scalar Vector Feature Selection with Fuzzy Optimized-Multi Perceptron Neural Network Using Natural Language Processing

Published:2024-07-10 Issue: Volume: Page:1123-1131
ISSN:
Container-title:2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
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Author:

K Jabir.¹,Kamalakkannan S.²,Smiles J. Anita³

Affiliation:

1. School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies(VISTAS),Department of Computer Science,Chennai,India

2. School of Computing Sciences Vels Institute of Science, Technology & Advanced Studies(VISTAS),Department of Information Technology,Chennai,India

3. SRMIST,Department of Computer Applications,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624685/10624738/10625596.pdf?arnumber=10625596

Reference25 articles.

1. Machine Learning-Based Lung Cancer Detection Using Multiview Image Registration and Fusion

2. Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review

3. Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm

4. Deep Learning Techniques to Diagnose Lung Cancer

5. Natural language processing for populating lung cancer clinical research data

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