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Segmentation of Human Brain Gliomas Tumour Images using U-Net Architecture with Transfer Learning
2022
Diyala Journal of Engineering Sciences
The complexity of segmenting a brain tumour is critical in medical image processing. Treatment options and patient survival rates can only be improved if brain tumours can be prevented and treated. Segmentation of the brain is the most complex and time-consuming task to diagnose cancer utilizing a manual approach for numerous magnetic resonance images (MRI). The aim of MRI brain tumour image segmentation that to build an automated magnetic resonance imaging tumour segmentation system with
doi:10.24237/djes.2022.15102
fatcat:d3n4drlx4nbxlew3hz2qf3sxf4