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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...

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Detalles Bibliográficos
Autores principales: Jendeberg, Johan, Thunberg, Per, Lidén, Mats
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
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