Efficient Real-time Video Frame Classification for Bladder Lesions.
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Updated
Oct 3, 2023 - Python
Efficient Real-time Video Frame Classification for Bladder Lesions.
A new tool to predict early-stage bladder cancer recurrence and progression. The application uses advanced artificial intelligence to combine state-of-the-art scales, outperforms them, and is freely available online.
NephroUroCare_AI is a research-backed nephrology and urology intelligence platform. Built on evidence-based kidney and urinary tract guidelines, it provides educational information on renal diseases, urological disorders, symptom assessment, emergency recognition, dialysis, transplantation, and printable reports. Fully offline-capable.
Segmentation of the bladder wall
Bladder cancer diagnostics still face major gaps. This project builds a machine-learning model to help improve early prediction.
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