Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images

To train an automatic brain tumor segmentation model, a large amount of data is required. In this paper, we proposed a strategy to overcome the limited amount of clinically collected magnetic resonance image (MRI) data regarding meningiomas by pre-training a model using a larger public dataset of MR...

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Detalles Bibliográficos
Autores principales: Hwang, Kihwan, Park, Juntae, Kwon, Young-Jae, Cho, Se Jin, Choi, Byung Se, Kim, Jiwon, Kim, Eunchong, Jang, Jongha, Ahn, Kwang-Sung, Kim, Sangsoo, Kim, Chae-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782766/
https://www.ncbi.nlm.nih.gov/pubmed/36547492
http://dx.doi.org/10.3390/jimaging8120327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782766/
https://www.ncbi.nlm.nih.gov/pubmed/36547492
http://dx.doi.org/10.3390/jimaging8120327

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