SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification

SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification

Accurate classification of brain tumors is crucial for informing clinical diagnoses and guiding patient treatment plans. It is one of the most aggressive tumors, leading to a short life expectancy. However, the classification of brain tumors is a challenging task due to the heterogeneity, complexity...

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Bibliographic Details
Main Authors: Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, Anila Usman, Ambreen Khawar, Syed Taimoor Hussain Shah, Aziz ul Rehman
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Brain tumor
Convolutional neural network
Feature map
Transfer learning
AlexNet
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025001136
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http://www.sciencedirect.com/science/article/pii/S2590123025001136

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