Lung cancer detection and nodule type classification using image processing and machine learning-Reference-Cited by-同舟云学术

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Lung cancer detection and nodule type classification using image processing and machine learning

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
language:
Short-container-title:

Author:

Hrizi Dorsaf¹,Tbarki Khaoula²,Attia Monia³,Elasmi Sadok¹

Affiliation:

1. Carthage University, Higher School of Communication,Cosim Research Labs,Tunisia

2. Tek-Up University,Researcher in the LR-SITI research laboratory ENIT, Private Higher School of Technology and Engineering,Tunisia

3. Tunis University El Manar,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10183237.pdf?arnumber=10183237

Reference17 articles.

1. Sparse and robust svm classifier for large scale classification;Applied Intelligence,2023

2. The prognostic impact of tumor size in resected stage I non-small cell lung cancer: Evidence for a two thresholds tumor diameters classification

3. A Biomedical Case Study Showing That Tuning Random Forests Can Fundamentally Change the Interpretation of Supervised Data Structure Exploration Aimed at Knowledge Discovery

4. Convolutional xgboost (c-xgboost) model for brain tumor detection;babyomi,2023

5. Bas: Beetle antennae search algorithm for optimization problems;jiang;Intl J of Robotics and Control,2017

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