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 ...
Investopedia

Master Market Segmentation for Enhanced Profitability and Growth

Ann Behan has 10 years-plus of experience researching, writing, and editing articles, white papers, and executing searches at the board level across various industries. Her expertise includes ...
Investopedia

Market Segmentation Theory: How It Influences Interest Rates and Bond Yields

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Suzanne is a content marketer, writer, and ...
GitHub

This is official Pytorch implementation of "DiFusionSeg: Diffusion-Driven Semantic Segmentation with Multi-modal Fusion for Perception Optimization"

@article{Wang2025DiFusionSegDS, title={DiFusionSeg: Diffusion-Driven Semantic Segmentation with Multi-Modal image Fusion for Enhanced Perception}, author={Zhiwei Wang and Defeng He and Li Zhao and Bo ...
GitHub

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation

Here's an example of Anaconda environment setting up. For training and testing, you should download COCO, YouTube-VIS 2019 & 2022, OVIS datasets. The datasets are assumed to exist in a directory ...
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 ...