IMG-22. A DEEP LEARNING MODEL FOR AUTOMATIC POSTERIOR FOSSA PEDIATRIC BRAIN TUMOR SEGMENTATION: A MULTI-INSTITUTIONAL STUDY

BACKGROUND: Brain tumors are the most common solid malignancies in childhood, many of which develop in the posterior fossa (PF). Manual tumor measurements are frequently required to optimize registration into surgical navigation systems or for surveillance of nonresectable tumors after therapy. With...

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Detalles Bibliográficos
Autores principales: Tam, Lydia, Lee, Edward, Han, Michelle, Wright, Jason, Chen, Leo, Quon, Jenn, Lober, Robert, Poussaint, Tina, Grant, Gerald, Taylor, Michael, Ramaswamy, Vijay, Ho, Chang, Cheshier, Samuel, Said, Mourad, Vitanza, Nick, Edwards, Michael, Yeom, Kristen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715226/
http://dx.doi.org/10.1093/neuonc/noaa222.357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715226/
http://dx.doi.org/10.1093/neuonc/noaa222.357

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