LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification-Reference-Cited by-同舟云学术

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

Author:

Ferdous Gazi Jannatul¹^ORCID,Sathi Khaleda Akhter¹^ORCID,Hossain Md. Azad¹^ORCID,Hoque Mohammed Moshiul²^ORCID,Dewan M. Ali Akber³^ORCID

Affiliation:

1. Department of Electronics and Telecommunication Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh

2. Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh

3. School of Computing and Information Systems, Faculty of Science and Technology, Athabasca University, Athabasca, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference45 articles.

4. The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification;baid;arXiv 2107 02314,2021

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