Learn More A new neural network architecture designed by ... The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting ...

From machine learning and deep learning to generative ... facial recognition, image segmentation, video analysis, autonomous navigation, and more. Computer vision models run on algorithms trained ...

Neural architecture search promises to speed ... less data, and downscaled models); learning curve extrapolation (based on a just a few epochs); warm-started training (initialize weights by ...

The classic way to find a suitable deep learning architecture is to start with a model that looks promising and gradually modify it and train it until you find the best configuration. However ...

A deep learning–based model accurately performs automated processing of CT scans of the pancreas of individuals with and ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

A new deep-learning model could ease the image segmentation required to implement online ART. (Courtesy: iStock/Mark Kostich) Online adaptive radiation therapy (ART) allows a treatment to be changed, ...