1pha / 2d_slice

2D Slice Approach on sMRI

Layouts

Using 3D sMRI to predict age(classification/regression) tends to fail on 3D CNN since -

• Sparse Kernels compared to 3-square(9) and 3-cube(27)
• Blank Voxels too many blanks

In order to tackle these problems, I was told to do this task with 2D CNNs and it has advantages of -

• More Data Since there are only 1,187 brains
• Human-like? Slice view for detecting symptoms is widely used method and this approach does that as well.

References

Not yet... :)

10.21(Wed)