Deep Learning Based Method for Brain Tumor Detection

Abstract

A brain tumour is considered to be a group of anomalous cells in the brain. The skull is very hard where the brain is enclosed. The growth of any type of tumour in this restricted area causes many problems. The brain tumour is detected in various steps such as to pre-process the image, segment it, extract the features and classify the tumor.  In the previous research work, numerous techniques are proposed which include snake segmentation for the segmentation, image filtering using PNLM filtering techniques. In the last transfer learning will be used for the classification. The transfer learning model is the combination of VGG16 and CNN models. Python is executed to simulate the introduced model. Accuracy, precision and recall are employed for computing the results. The proposed model shows high accuracy in comparison with existing ML models for the brain tumour detection