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A Deep Learning Framework for Brain Tumor Classification Using VGG16-Based Autoencoder with BiLSTM Feature Refinement Cover

A Deep Learning Framework for Brain Tumor Classification Using VGG16-Based Autoencoder with BiLSTM Feature Refinement

International Journal on Smart Sensing and Intelligent Systems
Volume 19 (2026): Issue 1 (January 2026)
By: ,  ,   and    
Open Access
|Feb 2026
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DOI: https://doi.org/10.2478/ijssis-2026-0006 | Journal eISSN: 1178-5608
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Language: English
Submitted on: May 23, 2025
Published on: Feb 20, 2026
Published by: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Bi-Long short-term memory,
convolutional autoencoder,
VGG16 layer,
deep learning
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2026 S. Jansi, P. T. Bharathi, A. B. Feroz Khan, R. Jayanthi, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2026): Issue 1 (January 2026)
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