An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging

5 Nov 2019Liu YangRudrasis Chakraborty

Recent years have witnessed the emergence and increasing popularity of 3D medical imaging techniques with the development of 3D sensors and technology. However, achieving geometric invariance in the processing of 3D medical images is computationally expensive but nonetheless essential due to the presence of possible errors caused by rigid registration techniques... (read more)

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