Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis

16 Jul 2018 Euijoon Ahn Jinman Kim Ashnil Kumar Michael Fulham Dagan Feng

The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features that can impact a variety of image analysis problems. Such supervised approaches, however, are difficult to implement in the medical domain where large volumes of labelled data are difficult to obtain due to the complexity of manual annotation and inter- and intra-observer variability in label assignment... (read more)

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Spatial Pyramid Pooling
Pooling Operations