Brain tumor segmentation based on 2D U-Net using MRI multi-modalities brain images

Abstract:

Glioblastoma is the most common malignant primary brain tumor, making up approximately 80% of all malignant primary brain tumors and 48.6% of all malignant tumors. Regardless of the diagnosis, the morbidity and mortality associated with a brain tumor are significant. They have a 5-year relative survival rate of around 7.2% and an average survival time of roughly 8 months. It’s a difficult but vital endeavor to detect the existence of brain tumors utilizing magnetic resonance images in a quick, precise, and repeatable manner. The delineation of different tumor locations, such as peritumoral edema, enhancing tumor, and tumor core, is a critical aspect in the analysis of gliomas. Various approaches in the literature now use the tumor segmentation methodology to improve diagnosis and treatment plans. The suggested methodology entails using neural networks, specifically U-Net and Attention U-Net, to automate the …

Año de publicación:

2022

Keywords:

Fuente:

google