Brain Tumor Detection

We all are aware of the severeness of Cancer.It is estimated that nearly 18,000 adults die due to Brain Tumor and the survival rate tells us that if detected late then the person dies within the span of 5 years.So, it is necessary that we devise a technique for early detection of the brain tumor and in today's Modern World we have the power of AI to help us in the early diagnosis of these tumors. In today's world with the help of deep learning we can develop a Brain Tumor Detection app which can just by looking at your Brain CT scan would let you know the probability of you having Brain Tumor. While working on cAInvas one of its key features is UseCases Gallary.When working on any of its UseCases you don't have to look for data manually.As they have the feature to import the dataset to your workspace when you work on them.To load the data we just have to enter the following commands: Running the above code in your notebook will load the labelled brain tumor data in your workspace. It is generally suggested that while working on image data it is better to introduce some augmentations in the data like flipping the image, rotating the image by some angles, changing the brightness of the image, etc.Since our deep learning model deals these images in the form of pixel values, so our model thinks these augmented data as new set of data and it improves the performance of the model.For image augmentations we can make a function and pass the image data through it and save them in our directory. As the CT scans contain the images of the brain in the center surrounded by the blank area so in this step we would find the region that contains the image of the brain and crop the rest from the image.For this we would create a function.