Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning

PURPOSE: Artificial intelligence (AI)-automated tumor delineation for pediatric gliomas would enable real-time volumetric evaluation to support diagnosis, treatment response assessment, and clinical decision-making. Auto-segmentation algorithms for pediatric tumors are rare, due to limited data avai...

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Detalles Bibliográficos
Autores principales: Boyd, Aidan, Ye, Zezhong, Prabhu, Sanjay, Tjong, Michael C., Zha, Yining, Zapaishchykova, Anna, Vajapeyam, Sridhar, Hayat, Hasaan, Chopra, Rishi, Liu, Kevin X., Nabavidazeh, Ali, Resnick, Adam, Mueller, Sabine, Haas-Kogan, Daphne, Aerts, Hugo J.W.L., Poussaint, Tina, Kann, Benjamin H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327271/
https://www.ncbi.nlm.nih.gov/pubmed/37425854
http://dx.doi.org/10.1101/2023.06.29.23292048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327271/
https://www.ncbi.nlm.nih.gov/pubmed/37425854
http://dx.doi.org/10.1101/2023.06.29.23292048

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