pharmaphorum

The patient segmentation model

Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...
IEEE

A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...
Nature

Image processing articles from across Nature Portfolio

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...
GitHub

Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation

Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation Xie, Jianxiang and Wu, Yao and Zhang, Yachao and Shi, Zhongchao and Fan, Jianping and Xie, Yuan and ...