News
» Go to news mainPublication: Abstract 97: Development And Validation Of A Deep Machine Learning Tool For Automated Intraventricular Hemorrhage Segmentation And Volume Measurement Using 3d Convolutional Neural Networks.
Posted by Angie Kinsman on
February 1, 2022
in
Neuroradiology
Abstract 97: Development And Validation Of A Deep Machine Learning Tool For Automated Intraventricular Hemorrhage Segmentation And Volume Measurement Using 3d Convolutional Neural Networks. Alexander Wong, Saif Baig, Zejia Chen, David Volders and Thien Huynh. Stroke. Published February 2022.
Recent News
- Program Administrator Award of Excellence
- Dr. Siân Iles interviewed on CBC's Information Morning
- Dr. Steven Beyea and Dr. Adela Cora featured in the latest Beyond Research podcast from ResearchNS
- Dr. Andreu Costa recognized as a CARJ 2023 Outstanding Reviewer!
- Department Faculty awarded EJNMMI Physics Best Paper 2023
- Dr. Hodgson wins world entrepreneurship contest
- Congratulations to the 2023 David Fraser Radiology Research Foundation Summer Studentship recipients!
- Congratulations, Dr. Brewer! The Charles Lo Prize in Radiology Research
Comments
All comments require a name and email address. You may also choose to log-in using your preferred social network or register with Disqus, the software we use for our commenting system. Join the conversation, but keep it clean, stay on the topic and be brief.
Read comments policy.
comments powered by Disqus