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NiftyNet meeting 3rd September 2018

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Wenqi Li edited this page Sep 5, 2018 · 2 revisions

Attendance: Wenqi L, Jorge C., Zach ER, Carole S.

Version 0.4 to be released by end of September:

  • Includes tf.dataset IO and callbacks
  • Dataset API: Multi threads wrapper for python generator. Now feasible to wrap python functions and work on np.arrays
  • New loss functions: Tavosky loss Mixture of Dice and Jaccard
  • Group normalisation
  • Random affine on the fly
  • squeeze and excitation unit

WIP

  • CSV reader still missing - 2 different situations:
    • Unique ID multiple fields
    • Same ID used for multiple instances (e.g. multi places of sampling)

Current problem: Appropriate matching by user for Subject ID Need to add a remove field in the config for handling subject names. By default remove all the ones in the contain field. If remove fields are indicated, will only remove these. Action Carole

  • Merge bias field random augmentation (at image level using np arrays)

  • Brainstorming on batch norm problem

    • Change of statistics due to differences in batch statistics
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