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Principal Investigator  
Principal Investigator's Name: Bharath surendar
Institution: Vellore Institute of Technology
Department: Computer Science
Proposed Analysis: Deep learning is nowadays used in almost all fields areas in many ways to simplify the work of humans and decrease the errors. There are many deep learning models present for various applications depending on their needs. From simple classification model to complex neural networks can be built to make the work we need to do. Our moto is to build a classifier to recognize various brain diseases like alzheimers, brain tumors, brain cancers and more from the magnetic resonance imaging (MRI) scans of the brain. Then next we planned to develop a model which helps in detection of mental disorders in earlier conditions which helps to cure in earlier stages. MRI is a medical imaging technique used to capture detailed images of our body parts using magnetic field and computer generated radio waves MRI scans can be used to detect many brain related diseases like stroke, injury, tumors, inflammation, infection, epilepsy and more. There are many steps involved in this process like image acquisition, detection, noise removal, segmentation and identification of the parts. In this project first of all we analyze all the existing deep learning models which is being used for different classification of brain diseases and try to come out with a neural network which is capable to classify the MRI by recognizing all the brain diseases including the mental disorders with better accuracy rates by tuning the network as required.
Additional Investigators