Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm

INTRODUCTION: Bladder magnetic resonance imaging (MRI) has been recently integrated in the diagnosis pathway of bladder cancer. However, automatic recognition of suspicious lesions is still challenging. Thus, development of a solution for proper delimitation of the tumor and its separation from the...

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Detalles Bibliográficos
Autores principales: Coroamă, Diana Mihaela, Dioșan, Laura, Telecan, Teodora, Andras, Iulia, Crișan, Nicolae, Medan, Paul, Andreica, Anca, Caraiani, Cosmin, Lebovici, Andrei, Boca, Bianca, Bálint, Zoltán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033524/
https://www.ncbi.nlm.nih.gov/pubmed/36969047
http://dx.doi.org/10.3389/fonc.2023.1096136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033524/
https://www.ncbi.nlm.nih.gov/pubmed/36969047
http://dx.doi.org/10.3389/fonc.2023.1096136

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