An example apparatus for detecting novel data includes a discriminator trained using a
generator to receive data to be classified. The discriminator may also be trained to classify …

Methods and apparatus for cross-domain medical image analysis and cross-domain
medical image synthesis using deep image-to-image networks and adversarial networks are …

Systems and techniques for classification based on annota tion information are presented. In
one example, a system trains a convolutional neural network based on training data and a …

Aspects of the technology described herein relate to collection and display of ultrasound
images using an explaining model. A first ultrasound image may be determined to be in a …

Systems and methods for identifying and assessing lymph nodes are provided. Medical
image data (eg, one or more computed tomography images) of a patient is received and …

Logic may create new images by adding more than one synthetic image on a template.
Logic may provide a template with a background for a new image. Logic may provide a set …

A system and method includes operation of a generation network to generate first generated
computed tomography data based on a first instance of surface data, determination of a …

Primary Examiner Ishrat I Sherali (57) ABSTRACT The present disclosure relates to training
one or more neural networks for vascular vessel assessment using synthetic image data for …

Abstract Comparison logic compares boundaries of features of or more images based, at
least in part, on identifying boundaries and indication logic coupled to the comparison logic …

Techniques are provided for deep neural network (DNN) identification of realistic synthetic
images generated using a generative adversarial network (GAN). According to an …