Automated lung cancer diagnosis using swarm intelligence with deep learning-Reference-Cited by-同舟云学术

Automated lung cancer diagnosis using swarm intelligence with deep learning

Published:2023-08-02 Issue:6 Volume:11 Page:2363-2385
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Shaikh Nishat¹²,Shah Parth²³

Affiliation:

1. Assistant Professor, Smt. Kundanben Dinsha Patel Department of Information Technology, Chandubhai S. Patel Institute of Technology (CSPIT), Changa, India

2. Faculty of Technology & Engineering (FTE), Charotar University of Science and Technology (CHARUSAT), Changa, India

3. Professor, Smt. Kundanben Dinsha Patel Department of Information Technology, Chandubhai S. Patel Institute of Technology (CSPIT), Changa, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2234054

Reference67 articles.

1. Hybrid Deep Learning Model and Fuzzy C Means Clustering Method for Pulmonary Nodule Detection in CT Images

2. An Adaptive Tunicate Swarm Algorithm for Optimization of Shallow Foundation

3. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

4. Deep Learning-Based BoVW–CRNN Model for Lung Tumor Detection in Nano-Segmented CT Images

5. An ensemble scheme based on language function analysis and feature engineering for text genre classification

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