• Yash Kulkarni
• Archana Karlekar
• Akshata Kulkarni
• Dr.Prasad Halgaonkar

In the project we are going to diagnose the brain MR images and suggesting the user that whether the given MR image has the tumor or not and classifying the image as Benign or malignant. For implementing this we have used Convolutional Neural Network (CNN) for classification of the images in the 2 main classes i.e. Benign and malignant. We will give the input image in the Nifty format (.nii) our software will convert that file into a simple image (.png) and perform classification on that image using CNN. We have trained our CNN classifier on our training data set and saved that classifier using .h5 file so that it will not require retraining the classifier repeatedly for each image, this will reduce the time of execution of the algorithm.

CNN ,Tumor

"Detection of Brain Tumor Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.28-34, May-2019, Available :http://www.jetir.org/papers/JETIRBO06004.pdf

"Detection of Brain Tumor Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp28-34, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06004.pdf