Predicting stone composition via machine-learning models trained on intra-operative endoscopic digital images
Abstract Objectives The aim of this study was to use deep learning (DL) of intraoperative images of urinary stones to predict the composition of urinary stones. In this way, the laser frequency and intensity can be adjusted in real time to reduce operation time and surgical trauma. Materials and met...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-01-01
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| Series: | BMC Urology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12894-023-01396-2 |