Enhanced Classification of Brain Tumor Types Using Multi-Head Self-Attention and ResNeXt CNN

Brain tumor identification is a challenging task in neuro-oncology. The brain’s complex anatomy makes it a crucial part of the central nervous system. Accurate tumor classification is crucial for clinical diagnosis and trea... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Journal on artificial intelligence
Published
2025-01-01
DOI
https://doi.org/10.32604/jai.2025.062446
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhanced Classification of Brain Tumor Types Using Multi-Head Self-Attention and ResNeXt CNN

Muhammad Naeem, Abdul Majid
Journal on artificial intelligence
Brain Tumor Detection and Classification
article

Enhanced Classification of Brain Tumor Types Using Multi-Head Self-Attention and ResNeXt CNN

Muhammad Naeem, Abdul Majid
article en

Abstract

Brain tumor identification is a challenging task in neuro-oncology. The brain’s complex anatomy makes it a crucial part of the central nervous system. Accurate tumor classification is crucial for clinical diagnosis and trea... | Find, read and cite all the research you need on Tech Science Press

Journal on artificial intelligenceVol. 7(1)
Openalex Percentile: Top 84%
Brain Tumor Detection and Classification
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Enhanced Classification of Brain Tumor Types Using Multi-Head Self-Attention and ResNeXt CNN — Muhammad Naeem, Abdul Majid · Journal on artificial intelligence (2025) | TGRS Research Map | TGRS