Deep learning based clinico-radiological model for paediatric brain tumor detection and subtype prediction

AIM: Early diagnosis of paediatric brain tumors significantly improves the outcome. The aim is to study magnetic resonance imaging (MRI) features of paediatric brain tumors and to develop an automated segmentation (AS) tool which could segment and classify tumors using deep learning methods and comp...

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Detalles Bibliográficos
Autores principales: Mahajan, Abhishek, Burrewar, Mayur, Agarwal, Ujjwal, Kss, Bharadwaj, Mlv, Apparao, Guha, Amrita, Sahu, Arpita, Choudhari, Amit, Pawar, Vivek, Punia, Vivek, Epari, Sridhar, Sahay, Ayushi, Gupta, Tejpal, Chinnaswamy, Girish, Shetty, Prakash, Moiyadi, Aliasgar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Open Exploration Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501890/
https://www.ncbi.nlm.nih.gov/pubmed/37720352
http://dx.doi.org/10.37349/etat.2023.00159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501890/
https://www.ncbi.nlm.nih.gov/pubmed/37720352
http://dx.doi.org/10.37349/etat.2023.00159

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