Learning rich features with hybrid loss for brain tumor segmentation

BACKGROUND: Accurately segment the tumor region of MRI images is important for brain tumor diagnosis and radiotherapy planning. At present, manual segmentation is wildly adopted in clinical and there is a strong need for an automatic and objective system to alleviate the workload of radiologists. ME...

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Detalles Bibliográficos
Autores principales: Huang, Daobin, Wang, Minghui, Zhang, Ling, Li, Haichun, Ye, Minquan, Li, Ao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323198/
https://www.ncbi.nlm.nih.gov/pubmed/34330265
http://dx.doi.org/10.1186/s12911-021-01431-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323198/
https://www.ncbi.nlm.nih.gov/pubmed/34330265
http://dx.doi.org/10.1186/s12911-021-01431-y

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