I have grayscaled image, specifically medical data ultrasonography.
In the context of medical domain, there are techniques to capture data that called "View". It's like point of views of CCTVs with different placement when capturing image. So, there are 5 views actually. Therefore, there are 5 image captured at once.
Since the image is grayscale which indicate one channel, can I replace the num of channels to the num of views.
So the input dimension will looks like this:
- (Height, Width, Channel/View) -> (600, 800, 5)
Instead of this:
- (Height, Width, Channel/Color) -> (600, 800, 1)
Or, shall I use Conv3D for this? even though my data doesn't contains Z-axis.
- (Depth/View, Height, Width, Channel/Color) -> (5, 600, 800, 1)
At the end, the output dimension is a vector with 3 element. (three neurons) with softmax activation as the classifier of pathology/disease/diagnose.