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

Abstract 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...

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Uloženo v:
Hlavní autoři: Dheerendranath Battalapalli, B. V. V. S. N. Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2022-05-01
Edice:BMC Medical Imaging
Témata:
Brain tumor
Segmentation
Deep neural network
MRI
On-line přístup:https://doi.org/10.1186/s12880-022-00812-7
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