Generative adversarial network for Multimodal Contrastive Domain Sharing based on efficient invariant feature-centric growth analysis improved brain tumor classification-Reference-Cited by-同舟云学术

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Generative adversarial network for Multimodal Contrastive Domain Sharing based on efficient invariant feature-centric growth analysis improved brain tumor classification

Published:2024-07-30 Issue: Volume: Page:1-15
ISSN:1536-8378
Container-title:Electromagnetic Biology and Medicine
language:en
Short-container-title:Electromagnetic Biology and Medicine

Author:

Reddy Panyala Amarendra¹,Manickam Baskar²

Affiliation:

1. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad, India

2. Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15368378.2024.2375266

Reference42 articles.

1. A deep learning approach for brain tumor classification using MRI images

2. A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

3. Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

4. Crossover smell agent optimized multilayer perceptron for precise brain tumor classification on MRI images

5. A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

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