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

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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Bibliographic Details
Main Authors: Poonam Sharma, Bhisham Sharma, Dhirendra Prasad Yadav, Deepti Thakral, Julian L. Webber
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Bladder Cancer
Deep learning
Transformer encoder
Self-Attention
Hybrid attention
Vision transformer
Online Access:https://doi.org/10.1038/s41598-025-02767-5
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https://doi.org/10.1038/s41598-025-02767-5

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