Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

Abstract: In this paper, we adopt 3D Convolutional Neural Networks to segment volumetric medical images. Although deep neural networks have been proven to be very effective on many 2D vision tasks, it ...

As Innatera’s first mass-market neuromorphic MCU, Pulsar delivers intelligence at the edge by emulating the brain’s neural ...

GenAI extends traditional AI, in particular, Discriminative AI, by generating new medical content, rather than just analyzing ...

In this paper, we introduce a new 3-D atrous convolutional neural network, used as a deep visual feature extractor, and stack convolutional long short-term memory (ConvLSTM) networks on top of the ...