EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification

EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification

The rapid advancement of medical imaging technologies requires the development of advanced, automated, and interpretable diagnostic tools for clinical decision-making. Although convolutional neural networks (CNNs) have shown significant promise in medical image analysis, they have limitations in cap...

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Bibliographic Details
Main Authors: Tahir Hussain, Hayaru Shouno, Abid Hussain, Dostdar Hussain, Muhammad Ismail, Tatheer Hussain Mir, Fang Rong Hsu, Taukir Alam, Shabnur Anonna Akhy
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
EfficientNet-B0
ResNet-50
vision transformer
model explainability
t-distributed stochastic neighbor embedding
Online Access:https://ieeexplore.ieee.org/document/10938132/
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https://ieeexplore.ieee.org/document/10938132/

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