High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network.

Objective: To localize and distinguish between benign and malignant tumors on MRI.

Method: This work proposes a high-performance method for brain tumor feature extraction using a combination of complex network and U-Net architecture. And then, the common machine-learning algorithms are used to discriminate between benign and malignant tumors.