considering the limited accuracy of existing medical image segmentation models for osteosarcoma CT segmentation, we propose the OSCA-TransUnet model based on the fusion of spatial and channel ...

This study addresses these gaps by presenting a text-assisted vision (TAV) model for medical image segmentation with a novel attention computation module named triguided attention module (TGAM). TGAM ...

This study explored, for the first time, the application of language-guided vision-language models (VLMs) for farmland segmentation ... model.bin, save the resulting model into your desired path in ...

This project performs a comprehensive customer segmentation analysis on a transnational online ... thoughtful feature engineering, robust model selection, and insightful cluster interpretation, ...

Integrating information from multiple directions enables the model to comprehensively understand the structure and features of medical images, thereby enhancing segmentation accuracy. Figure 2. The ...