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

M-CSAFN: Multi-Color Space Adaptive Fusion Network for Automated Port-Wine Stains Segmentation

Abstract: Automatic segmentation of port-wine stains (PWS) from clinical images is critical for accurate diagnosis and objective assessment of PWS. However, this is a challenging task due to the color ...
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 ...
GitHub

U2Seg: Unsupervised Universal Image Segmentation

U2Seg has 4 stages: 1) generating pseudo instance masks with MaskCut and clustering, 2) generating pseudo semantic masks with STEGO and 3) merging instance masks, semantic masks to get pseudo labels ...
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 ...