ULL-Event: 2D Biosignal Processing for Automation in Disease Detection Based on Deep Neural Networks

To treat the diseases or injuries of the joints, bones, muscles, and spine in both adult and pediatric imaging the 2-D musculoskeletal radiographs bring a significant depth of expertise. Various machine learning processes have played a significant role in medical image classification and abnormality detection from musculoskeletal radiographs. There are other 2-D images that are utilized for Tuberculosis, COVID 19 detection. Many Networks, such as Densenet, Resnet, Inception v3, and Capsnet architecture will be explained here for musculoskeletal radiographs abnormality detection and other life threatening diseases detection. Such computer-based automatic detection of abnormality and diseases is time-saving, and more accurate thus creates a huge impact on the community and humanity.
PDH Certificate will be issued for those IEEE members attendees satisfying the 50 minutes requirement upon request. Please indicate interest by answering PDH question during registration. For easier membership verification, please login to your IEEE account before registering.
Speaker(s): Celia Shahnaz
Virtual: https://events.vtools.ieee.org/m/413518