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A Unified Vision Transformer and Convolutional Neural Network Framework for Multi-Domain Cancer Classification

2025-06-13

Abstract excerpt

<title>Abstract</title> <p>Accurate and reliable classification of cancer from medical imaging is essential for effective computer-aided diagnosis. In this study, we conduct a comprehensive evaluation of three deep learning architectures—Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), and a hybrid model (HViT-CNN) that integrates CNN backbones with transformer-based attention mechanisms. These m...

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Literature Corpus work
a59e6456-2408-52e4-b884-09d464071e8a
DOI
10.21203/rs.3.rs-6633290/v1
Open publication

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A Unified Vision Transformer and Convolutional Neural Network Framework for Multi-Domain Cancer ClassificationDOI 10.21203/rs.3.rs-6633290/v1
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