LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification

LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification

Current deep learning-assisted brain tumor classification models sustain inductive bias and parameter dependency problems for extracting texture-based image information. Thereby concerning these problems, the recent development of the vision transformer model has substituted the DL model for classif...

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Bibliographic Details
Main Authors: Gazi Jannatul Ferdous, Khaleda Akhter Sathi, Md. Azad Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Brain tumor
classification
external attention
MRI
transformer
Online Access:https://ieeexplore.ieee.org/document/10042403/

Internet

https://ieeexplore.ieee.org/document/10042403/

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