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Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists’ assessments and to evaluate whether the assessment o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867560/ https://www.ncbi.nlm.nih.gov/pubmed/32107579 http://dx.doi.org/10.1007/s00240-020-01180-z |