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Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms
PURPOSE: To automatically evaluate renal masses in CT images by using a cascade 3D U-Net- and ResNet-based method to accurately segment and classify focal renal lesions. MATERIAL AND METHODS: We used an institutional dataset comprising 610 CT image series from 490 patients from August 2009 to August...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233136/ https://www.ncbi.nlm.nih.gov/pubmed/37274226 http://dx.doi.org/10.3389/fonc.2023.1169922 |