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Support for multimodal input image volumes #4

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YipengHu opened this issue Jun 6, 2018 · 2 comments
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Support for multimodal input image volumes #4

YipengHu opened this issue Jun 6, 2018 · 2 comments

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@YipengHu
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YipengHu commented Jun 6, 2018 •
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This adaptation deals with the case that the multiple already co-registered moving (and/or fixed) images are available for predicting the DDFs. Therefore, the label similarity shall not be affected.
YipengHu added a commit that referenced this issue Jun 9, 2018
@YipengHu
ref #4 the feeding bug fixed
842c10c
@YipengHu YipengHu mentioned this issue Jun 9, 2018
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YipengHu referenced this issue Jun 9, 2018
@YipengHu
ref #3 now accepts multidimensional input images in training
336eef1
YipengHu referenced this issue Jun 9, 2018
@YipengHu
ref #3 changes for the inference
9969479
@YipengHu YipengHu changed the title Support for multimodal moving image volumes Support for multimodal input image volumes Jun 9, 2018
YipengHu added a commit that referenced this issue Jun 10, 2018
@YipengHu
ref #4 multiple channel warning added
632c014
YipengHu added a commit that referenced this issue Jul 2, 2018
@YipengHu
ref #4 now save training info to file
ed61609
YipengHu added a commit that referenced this issue Jul 2, 2018
@YipengHu
ref #4 also save model-saving to file
30c3ece
@YipengHu
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As a side memory issue, the initial channel size needs to be customisable

@YipengHu
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This needs test, otherwise done. The memory issue should be grouped into the general memory efficiency issue.

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