Training a neural network adapter

A method comprising:

• detecting a trained neural network application;
• detecting a set of images from a medical device, wherein the trained neural network application is not trained with the set of images;
• training an adapter network based on the trained neural network application and the set of images, wherein the adapter network is to be trained by freezing weights of the trained neural network application and modifying weights of the adapter network, wherein the weights of the adapter network are initialized to weights of a pass through function;
• and
• using the trained adapter network to process at least one additional image, the at least one processed additional image to be transmitted to the trained neural network application to generate an output signal.

A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, wherein the program instructions are executable by a processor to cause the processor to:

• detect a trained neural network application;
• detect a set of images from a medical device, wherein the trained neural network application is not trained with the set of images;
• train an adapter network based on the trained neural network application and the set of images, wherein the adapter network is to be trained by freezing weights of the trained neural network application and modifying weights of the adapter network, wherein the processor is to initialize the weights of the adapter network to weights of a pass through function;
• and
• use the trained adapter network to process at least one additional image, the processed additional image to be transmitted to the trained neural network application to generate an output signal.