An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices

BACKGROUND: Segmenting brain tumor and its constituent regions from magnetic resonance images (MRI) is important for planning diagnosis and treatment. In clinical routine often an experienced radiologist delineates the tumor regions using multimodal MRI. But this manual segmentation is prone to poor...

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Detalles Bibliográficos
Autores principales: Battalapalli, Dheerendranath, Rao, B. V. V. S. N. Prabhakar, Yogeeswari, P., Kesavadas, C., Rajagopalan, Venkateswaran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107172/
https://www.ncbi.nlm.nih.gov/pubmed/35568820
http://dx.doi.org/10.1186/s12880-022-00812-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107172/
https://www.ncbi.nlm.nih.gov/pubmed/35568820
http://dx.doi.org/10.1186/s12880-022-00812-7

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