Home Exhibits Exhibit Search

SGD-Net: Intelligent Diagnostic and Predictive System for Stroke Using MRI images

Back

SGD-Net: Intelligent Diagnostic and Predictive System for Stroke Using MRI images

Stroke causes healthcare burden. Neuroimaging-based AI integration for in-depth stroke analysis helps stroke care. The Semantic Segmentation Guided Detector Network (SGD-Net) applies 2-stage models to accurately segment and quantify ischemic lesions on brain MRI images. Lesion-based semantic and radiomic analysis and feature fusion precisely predict outcomes, stroke etiology, and large artery stenosis. SGD-Net integrates neurology and neuroimaging, making it highly valuable and applicable.

Chang Gung University

Centering on biotechnology research and medical studies, Chang Gung University set up research centers in medicine, engineering, management and other related fields. Furthermore, the university integrates research resources from an array of research teams to achieve the best results. In addition, we apply high technology to our two main research themes "cross-platform precision medical strategy" and "comprehensive smart health care". Our goal is to develop a comprehensive smart health care “iHealthCare” system, so as to continue promoting interdisciplinary, international cutting-edge advanced research and cultivating talents. To develop a number of interdisciplinary research centers is another focus of the university. We have been working towards the establishment of interdisciplinary research centers, as well as integrating and coordinating each college’s expertise in various fields, including precision medicine, healthy aging, disease infection, biomedical engineering, data science, artificial intelligence, management, decision-making optimization, and long-term health care, etc. It is worth noting that research objectives in various fields in conjunction with artificial intelligence technology serve to guide teachers to participate in relevant research and industry-academia cooperation. We expect that such an approach could improve interdisciplinary cooperation and add value to research and its application.

Contact

  • Name:

  • Phone:

  • Address:

Email

Other Information

  • Pavilion:Future Tech AIoT & Smart Applications FK06

  • Affiliated Ministry:National Science and Technology Council

  • Application Field:Information & Communications

Location More info

Website & Links

  • Technology maturity:Prototype

  • Exhibiting purpose:Display of scientific results

  • Trading preferences:Negotiate by self

Inquiry

*Organization

*Name

*Email

*Request & Comments

Request Specifications

Meeting & Discussion

*Organization

*Name

*Email

*Phone

*Main Purpose

*Discuss Further




*Job Category







*Overall Rating

*Favorite Area

*Key Tech Focus

*Willing to Receive Updates?


Other Suggestions

Coming soon!

TOP

Login

Account

Password