Diagnostic cystoscopy in combination with transurethral resection of the bladder tumour are
the standard for the diagnosis, surgical treatment and surveillance of bladder cancer. The …

Artificial intelligence (AI) is best known to the general public through science fiction books
and films, but AI has become a focus on practical interest and has been operationally …

To solve the tracking accuracy degradation problem in scenarios with large displacements
or nonrigid motion during target tracking, this paper proposes an optical flow estimation …

Background: Detection of bladder tumors under white light cystoscopy (WLC) is challenging
yet impactful on treatment outcomes. Artificial intelligence (AI) holds the potential to improve …

Overview of current applications and trends in artificial in... : Current Opinion in Urology Overview
of current applications and trends in artificial intelligence for cystoscopy and transurethral …

This paper investigates the impact of the amount of training data and the shape variability on
the segmentation provided by the deep learning architecture U-Net. Further, the correctness …

Background The clinical documentation of cystoscopy includes visual and textual materials.
However, the secondary use of visual cystoscopic data for educational and research …

Bladder cancer ranks within the top 10 most diagnosed cancers worldwide and is among the
most expensive cancers to treat due to the high recurrence rates which require lifetime …

Introduction Since the significant breakthroughs in artificial intelligence (AI) algorithms, the
application of AI in bladder cancer has rapidly expanded. AI can be used in all aspects of the …

Introduction: Bladder cancer (BC) is a major health concern that poses a significant threat to
the population, with an increasing incidence rate and a high risk of recurrence and …