Detection of Dust vs Fragmentation During Ureteroscopy with Laser Lithotripsy: A Novel Computer Vision and Perception Pipeline

Abstract excerpt

<title>Abstract</title> <p>Introduction : Dusting during ureteroscopy with laser lithotripsy is popular because it minimizes the need for basketing of fragments. However, one of the challenges with dusting is adjusting power settings to be efficient and to limit the inadvertent generation of fragments. Detection of fragment production in real time using computer vision could help facilitate energy adjustments to...

Topics

Open a Topic to create a Post that cites this publication.

• AI in cancer detection
• Artificial Intelligence
• Machine Learning
• Mutation
• Neoplasms
• Pancreatic and Hepatic Oncology Research
• Phenotype
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

09ece756-5d74-59ea-affa-dc25a30deb9b

DOI

10.21203/rs.3.rs-7707908/v1