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Classification of retinoblastoma-1 gene mutation with machine learning-based models in bladder cancer
PURPOSE: This study aims to evaluate the potential of machine learning algorithms built with radiomics features from computed tomography urography (CTU) images that classify RB1 gene mutation status in bladder cancer. METHOD: The study enrolled CTU images of 18 patients with and 54 without RB1 mutat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9061624/ https://www.ncbi.nlm.nih.gov/pubmed/35520623 http://dx.doi.org/10.1016/j.heliyon.2022.e09311 |