Deciphering the Efficacy of No-Attention Architectures in Computed Tomography Image Classification: A Paradigm Shift

Deciphering the Efficacy of No-Attention Architectures in Computed Tomography Image Classification: A Paradigm Shift

The burgeoning domain of medical imaging has witnessed a paradigm shift with the integration of AI, particularly deep learning, enhancing diagnostic precision and expediting the analysis of Computed Tomography (CT) images. This study introduces an innovative Multilayer Perceptron-driven model, Diagn...

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Bibliographic Details
Main Author: Salha M. Alzahrani
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
computed tomography
deep learning
DiagnosticMLP
multilayer perceptron
MLP
no-attention architecture
Online Access:https://www.mdpi.com/2227-7390/12/5/689

Internet

https://www.mdpi.com/2227-7390/12/5/689

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