Prediction Models for Health Care
Kiran, Manoj Kumar, D S Sunil Kumar, M. T. Ganesh Kumar, S. Nandini · 2023
Detection of a brain tumor is always critical, especially when patient’s survival depends upon an accurate and timely analysis due to a large amount of information that needs to be analyzed. Manual detection of brain tumor is very tedious and a hard task. Moreover, automatic brain detection is always a challenging problem because of the structure of the brain and variations in magnetic resonance image (MRI) impressions. Image segmentation has always been the vital task for the automated detection of brain tumor. The proposed technique has been proven as a very powerful tool for the solution of many complex problems and has been widely applied in image processing, object detection, and face recognition. In this chapter, we used convoluted neural network (CNN) architecture algorithms on image processing and requisition of the desire portion from MR images. Furthermore, we used different machine learning algorithms (Kernel SVM, KNN) for the detection of brain tumor.