Improved Brain Tumor Growth Prediction and Segmentation in Longitudinal Brain

Description

Automated detection of tumor in Magnetic Resonance Imaging (MRI) is very crucial as it provides information about abnormal tissues which is necessary for planning treatment. This method is impractical for large amount of data. So, automated tumor detection methods are developed as it would save radiologist time. In this Project, automatic brain tumor detection is proposed by using Convolutional Neural Networks (CNN) classification.