kennethsinder/oct-opus

Investigate training the generator with knowledge of adjacent B-scans

Opened this issue · 1 comments

Since the resulting OMAGs get combined into an en-face image, it follows that the capillary cross-sections should smoothly connect, so the position of the capillaries in adjacent B-scans could provide insight into the correct position and scaling of the capillaries in the current B-scan.

Consider looking into techniques like the following paper uses to ensure "temporal smoothing" (ensuring that generated video frames flow smoothly into each other).

https://arxiv.org/pdf/1808.07371.pdf

This issue additionally requires:

  • Clean up the code to parameterize the number of input channels
  • Figure out #21 to determine whether the results are an improvement
pl3li commented

Is this related to tempoGAN: A Temporally Coherent, Volumetric GAN forSuper-resolution Fluid Flow (https://arxiv.org/pdf/1801.09710.pdf) or completely separate?