Comparative Multicentric Evaluation of Inter-Observer Variability in Manual and Automatic Segmentation of Neuroblastic Tumors in Magnetic Resonance Images

SIMPLE SUMMARY: Tumor segmentation is a key step in oncologic imaging processing and is a time-consuming process usually performed manually by radiologists. To facilitate it, there is growing interest in applying deep-learning segmentation algorithms. Thus, we explore the variability between two obs...

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Detalles Bibliográficos
Autores principales: Veiga-Canuto, Diana, Cerdà-Alberich, Leonor, Sangüesa Nebot, Cinta, Martínez de las Heras, Blanca, Pötschger, Ulrike, Gabelloni, Michela, Carot Sierra, José Miguel, Taschner-Mandl, Sabine, Düster, Vanessa, Cañete, Adela, Ladenstein, Ruth, Neri, Emanuele, Martí-Bonmatí, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367307/
https://www.ncbi.nlm.nih.gov/pubmed/35954314
http://dx.doi.org/10.3390/cancers14153648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367307/
https://www.ncbi.nlm.nih.gov/pubmed/35954314
http://dx.doi.org/10.3390/cancers14153648

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