Your question is CNN Architecture for Medical Imaging. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Describe the architecture of a CNN and its specific application in medical imaging.
Explain the roles of convolution, activation, pooling, normalization, and fully connected layers. Describe how you would preprocess medical images, train and validate the model, address class imbalance, and evaluate performance using clinically appropriate metrics.
