Bladder lesion detection using EfficientNet and hybrid attention transformer through attention transformation

Abstract Bladder cancer diagnosis is a challenging task because of its intricacy and variation of tumor features. Moreover, morphological similarities of the cancerous cells make manual diagnosis time-consuming. Recently, machine learning and deep learning methods have been utilized to diagnose blad...

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Principais autores:	Poonam Sharma, Bhisham Sharma, Dhirendra Prasad Yadav, Deepti Thakral, Julian L. Webber
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-05-01
Colecção:	Scientific Reports
Assuntos:	Bladder Cancer Deep learning Transformer encoder Self-Attention Hybrid attention Vision transformer
Acesso em linha:	https://doi.org/10.1038/s41598-025-02767-5
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