Medical image analysis using neural networks

Abstract

Systems and methods are described for automatically determining layer structure from medical image data. A processing device receives image data of biological layers captured by a medical imaging device. The processing device determines a boundary surface score for each pixel of the image data using a neural network, the boundary surface score being representative of a likelihood that each pixel corresponds to a boundary between segmented layers within the image data, to generate data defining boundary surfaces between segmented layers in the image data. In one embodiment, the neural network includes first and second sub-networks connected in series, the first sub-network configured with a multi-scale pooling layer that provides additional filters at respective defined sampling rates. The first sub-network processes the image data to generate segmentation data identifying a plurality of tissue layers in the input medical image, and the second sub-network processes the segmentation data to identify boundary surfaces between the plurality of tissue layers. Other embodiments are also described and claimed.