Deep multi-scale three-dimensional convolutional neural network optimized with manta ray foraging optimization algorithm for classification of lung cancer on CT images-Reference-Cited by-同舟云学术

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Deep multi-scale three-dimensional convolutional neural network optimized with manta ray foraging optimization algorithm for classification of lung cancer on CT images

Published:2023-06-23 Issue: Volume: Page:1-13
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Nair Veena V.¹,Vinitha C. S.²,Shajin Francis H.³

Affiliation:

1. Neuroscience Department, University of Oldenburg, Oldenburg, Germany

2. Department of Electronics and Communication Engineering, NSUT-East Campus, Delhi, India

3. Research and Development, Xpertmindz Innovative Solutions Private Limited, Kuzhithurai, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2023.2222992

Reference39 articles.

1. Lung cancer Prediction and Classification based on Correlation Selection method Using Machine Learning Techniques

2. Detection and classification of pulmonary nodules using deep learning and swarm intelligence

3. Diagnosis of lung cancer using hybrid deep neural network with adaptive sine cosine crow search algorithm

4. Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection

5. Lung X-Ray Image Segmentation Using Heuristic Red Fox Optimization Algorithm

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