Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images

SIMPLE SUMMARY: Tumor segmentation is a key step in oncologic imaging processing. We have recently developed a model to detect and segment neuroblastic tumors on MR images based on deep learning architecture nnU-Net. In this work, we performed an independent validation of the automatic segmentation...

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Detalles Bibliográficos
Autores principales: Veiga-Canuto, Diana, Cerdà-Alberich, Leonor, Jiménez-Pastor, Ana, Carot Sierra, José Miguel, Gomis-Maya, Armando, Sangüesa-Nebot, Cinta, Fernández-Patón, Matías, Martínez de las Heras, Blanca, Taschner-Mandl, Sabine, Düster, Vanessa, Pötschger, Ulrike, Simon, Thorsten, Neri, Emanuele, Alberich-Bayarri, Ángel, Cañete, Adela, Hero, Barbara, Ladenstein, Ruth, Martí-Bonmatí, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000775/
https://www.ncbi.nlm.nih.gov/pubmed/36900410
http://dx.doi.org/10.3390/cancers15051622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000775/
https://www.ncbi.nlm.nih.gov/pubmed/36900410
http://dx.doi.org/10.3390/cancers15051622

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