Leveraging DenseNet and Genetic Algorithms for Lung Cancer Severity Classification-Reference-Cited by-同舟云学术

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Leveraging DenseNet and Genetic Algorithms for Lung Cancer Severity Classification

Published:2023-12-07 Issue: Volume:17 Page:1-6
ISSN:
Container-title:2023 1st International Conference on Optimization Techniques for Learning (ICOTL)
language:
Short-container-title:

Author:

Arthi Ts.¹,Premkumar S.²,Sivakumar S.³,Partheeban N.²

Affiliation:

1. Galgotia College of Engineering and Technology,Dept of Computer Science and Engineering,Greater Noida

2. Galgotias University,School of Computer Science and Engineering,Greater Noida

3. SRM Institute of Science and Technology,Computer Science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434936/10434955/10435208.pdf?arnumber=10435208

Reference34 articles.

1. Early diagnosis of Lung Cancer with Probability of Malignancy Calculation and Automatic Segmentation of Lung CT scan Images

2. KRAS Inhibitors and Target Engagement Technology: From Undruggable to Druggable Targets in Cancer Therapeutics

3. An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine

4. Cataract Fundus Image Detection Using Hybrid Deep Learning Model

5. DFD-Net: lung cancer detection from denoised CT scan image using deep learning

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