Efficient SqueezeViT: A lightweight vision transformer framework for chest X-ray image classification

Abstract This work introduces SqueezeViT (Squeeze Vision Transformers), a compact yet effective architecture based on Vision Transformers (ViT) designed for chest X-ray (CXR) image classification. In contrast to traditional ViT architectures, which are computationally demanding, SqueezeViT employs a...

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Autors principals:	Abhinav Maurya, Ashish Lohia, Chirag, Jyoti Yadav, Bharti Panjwani, Vijay Mohan
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-04-01
Col·lecció:	Scientific Reports
Matèries:	SqueezeViT MobileViT CNN Chest X ray
Accés en línia:	https://doi.org/10.1038/s41598-026-47918-4
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