Deep learning integration in cancer diagnosis enhances accuracy and diagnosis speed
which helps clinical decision-making and improves health outcomes. Despite all these …

Simple Summary Our study provides an overview of the current state of artificial intelligence
applications in urooncology and explores potential future advancements in this field. With …

Introduction: Nonmuscle-invasive bladder cancer has a relatively high postoperative
recurrence rate despite the implementation of conventional treatment methods. Cystoscopy …

Background Artificial intelligence aided tumor segmentation has been applied in various
medical scenarios and showed effectiveness in hel** physicians observe the potential …

Background Optimal detection and surveillance of bladder cancer (BCa) rely primarily on the
cystoscopic visualization of bladder lesions. AI-assisted cystoscopy may improve image …

Objective. Accurate tumor detection is critical in cystoscopy to improve bladder cancer
resection and decrease recurrence. Advanced deep learning algorithms hold the potential to …

Abstract Background and Objective: Although deep learning-based intelligent diagnosis of
bladder cancer has achieved excellent performance, the reliability of neural network …

Basic and technical aspects and important applications of artificial intelligence (AI) in
medicine (AIM) have been presented in previous chapters. Given the broad scope and …

Abstract Background and Objective: Bladder cancer is one of the most common malignant
tumor of urinary system with high morbidity and mortality. Although deep learning-based …

The development of computerized approaches for abnormality detection in endoscopic
video images has become an active research area with the goal of relieving the workload of …