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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Xehetasun bibliografikoak
Argitaratua izan da:Neuro Oncol
Egile Nagusiak: 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
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2020
Gaiak:
Imaging
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7715226/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa222.357
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