General Electric Company

Peter Lamb

Bipul Das

Roshni Bhagalia

Bhushan Dayaram Patil

The present approach relates, in some aspects, to a multi-level and a multi-channel frame work for segmentation using model-based or 'shallow' classification (i.e. learning processes such as linear regression, clustering, support vector machines, and so forth) followed by deep learning. This framework starts with a very low resolution version of the multi-channel data and constructs an shallow classifier with simple features to generate a coarser level tissue mask that in turn is used to crop patches from the high-resolution volume. The cropped volume is then processed using the trained convolution network to perform a deep learning based segmentation within the slices.

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Niskayuna, NY, United States of America

Peter Lamb