OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
javascript
reactjs
dicom
medical-imaging
quantitative-imaging
imaging-informatics
cancer-imaging-research
image-analysis
medical-image-processing
nci-itcr
nci-qin
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Updated
Aug 20, 2020 - JavaScript
In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!