General Electric Company
SYSTEMS AND METHODS FOR CAPTURING DEEP LEARNING TRAINING DATA FROM IMAGING SYSTEMS

Abstract:

Methods and systems are provided for generating deep learning training data with an imaging system. In one embodiment, a method for an imaging system comprises performing a scan of a subject to acquire imaging data, training a deep neural network on the imaging data to obtain updates to the deep neural network, and transmitting the updates to a server for training a central deep neural network. In this way, imaging data may be leveraged for training and developing global deep learning models without transmitting the imaging data itself, thereby preserving patient privacy.