Абстрактный

A framework for brain tumor detection using MRI images.

Xiao Gang

The detection of brain tumors is crucial for effective treatment planning and management. Magnetic resonance imaging is a widely used imaging modality for brain tumor detection due to its high resolution and non-invasive nature. In this paper, we propose a framework for brain tumor detection using MRI images. The proposed framework consists of four main stages: pre- processing, feature extraction, feature selection, and classification. In the pre-processing stage, the MRI images are pre-processed to enhance the image quality and remove any noise.