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Prediction of the composition of urinary stones using deep learning
PURPOSE: This study aimed to predict the composition of urolithiasis using deep learning from urinary stone images. MATERIALS AND METHODS: We classified 1,332 stones into 31 classes according to the stone composition. The top 4 classes with a frequency of 110 or more (class 1: calcium oxalate monohy...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Urological Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262483/ https://www.ncbi.nlm.nih.gov/pubmed/35670006 http://dx.doi.org/10.4111/icu.20220062 |