An attention-based neural network for lung cancer classification and gradient in MRI-Reference-Cited by-同舟云学术

An attention-based neural network for lung cancer classification and gradient in MRI

Published:2024-07-21 Issue:4 Volume:65 Page:1379-1390
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Ramasamy Poornima¹,Alabdulkreem Eatedal²,Alruwais Nuha³,Gladis Pushparathi V. P.⁴

Affiliation:

1. Department of Electronics and Communication Engineering, K.S.R. College of Engineering, Namakkal, Tamilnadu, India

2. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Saudi Arabia, Riyadh, Saudi Arabia

4. Department of Computer Science and Engineering, Velammal Institute of Technology, Chennai, Tamilnadu

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2024.2376776

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2. Lung cancer diagnosis using deep attention‐based multiple instance learning and radiomics

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4. An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation;Tyagi S;Comput Med Imaging Graph,2023

5. Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder