Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image

Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image

Achieving high accuracy with computational efficiency in brain disease classification from Magnetic Resonance Imaging (MRI) scans is challenging, particularly when both coarse and fine-grained distinctions are crucial. Current deep learning methods often struggle to balance accuracy with computatio...

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Bibliographic Details
Main Authors: Dewinda Julianensi Rumala, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, I Ketut Eddy Purnama
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2024-12-01
Series:Emitter: International Journal of Engineering Technology
Subjects:
Brain Image Classification
Bilinear Pooling
Deep Learning
Lightweight CNNs
Magnetic Resonance Imaging
Online Access:https://emitter.pens.ac.id/index.php/emitter/article/view/853
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