The problem BRAIN TUMOR DETECTION & TRACKING solves

•
Size of the data (Tumor Sample Images):
In a large scale Brain Tumor Detection Application, storing the data, i.e., images
becomes an issue from a memory perspective.
•
Traditional Backpropagation Approaches in Tumor Detection:
Models are not that efficient when trained via traditional backpropagation
approaches.

Challenges we ran into

Downsampling:
Downsample the images to address the size issue.
ResNet:
Apply Residual Neural Network ( ResNet ) to train the
ResNet >> Traditional Backpropagation Approaches