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

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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: S. Jansi, P. T. Bharathi, A. B. Feroz Khan and R. Jayanthi

Open Access

|Feb 2026

Authors

S. Jansi

Department of Computer Science and Technology, Madanapalle Institute of Technology & Science, Madanapalle, India

P. T. Bharathi

Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumakuru, India

A. B. Feroz Khan

abferozkhan@gmail.com

Department of Computer Science, Syed Hameedha Arts and Science College, Kilakarai, India

R. Jayanthi

Department of MCA, Dayananda Sagar College of Engineering, Kumaraswamy Layout, Bangalore, India

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: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Bi-Long short-term memory,

convolutional autoencoder,

Related subjects:

Introductions and overviews,

Engineering, other

© 2026 S. Jansi, P. T. Bharathi, A. B. Feroz Khan, R. Jayanthi, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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