We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...

A U-Net-style Encoder-Decoder network with residual blocks and an attention mechanism, adapted for multi-input image relighting tasks. Resources. Readme Activity. Custom properties. Stars. 0 stars.

Abstract: For tasks like medical image segmentation and understanding, U-Net is one of the most prominent convolutional neural networks (CNNs) in recent years. Most of the models for image ...

Here we develop a customized encoder-decoder U-Net based semantic segmentation model to detect and geolocate this class of defective modules from orthorectified thermal infrared UAV imagery. Aerial ...

Yufeng Wu, Jiachen Wu, Shangzhong Jin, Liangcai Cao, and Guofan Jin, "Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields," Optics Communications 493, 126970 (2021 ...

U-Net is characterized by its encoder-decoder architecture and pioneering skip connections, along with multi-scale features, has served as a fundamental network architecture for many modifications.