Brain Tumor Detection and Classification using Neural Network

Electronics Engineering

Brain tumor is one of the most dangerous disease which requires early diagnosis and accurate detection method. Tumor is the mass growth of abnormal cells. The tumor may be cancerous or non-cancerous, the cancerous cells are life threatening hence early diagnosis is necessary. The tumor can be detected by medical imaging techniques like Magnetic Resonance Imaging (MRI), which is most preferred imaging technique. The accurate detection of tumor in the MRI scan is quite challenging, hence segmentation is performed to detect the tumor accurately. The segmentation is done by clustering technique and then classification is performed. With the advances of deep learning in medical field the automatic classification of brain tumor can be performed. The convolutional neural network is used to perform classification of the tumor as benign or malignant. The convolutional neural network outperforms other machine learning algorithms and provides better results.

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