What is it about?
This article explains brain tumor segmentation from the non-tumor regions. It also classifies tumor sub-regions effectively by deep neural network technique. The proposed method is modified inception module based U-Net model. It has encoder and decoder architecture like original U-Net architecture.
Featured Image
Why is it important?
The survival rate of brain tumor is less. If it detects earlier then the survival rate is increased by giving earlier treatment plans. The isolation of the tumor part is to be done with this method.
Read the Original
This page is a summary of: An automatic brain tumor segmentation using modified inception module based U-Net model, Journal of Intelligent & Fuzzy Systems, February 2022, IOS Press,
DOI: 10.3233/jifs-211879.
You can read the full text:
Contributors
The following have contributed to this page