Deep Learning for Biomedical and Healthcare Applications
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Deep Learning for Biomedical and Healthcare Applications
As a follow-up to our recent meeting on "The Ultimate Software: Machine Learning and Intelligence" (https://events.vtools.ieee.org/m/281946), this month's meeting takes a more in-depth look at Deep Learning and its uses in the fields of biomedical and health care applications.
Please be sure to register so that we can increase our Zoom capacity if necessary.
Deep learning is a tool to support various industrial, biomedical and health care applications. Various machine learning processes have played a significant role in Robotics applications, 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 for musculoskeletal radiographs abnormality detection and other life threatening diseases detection . Such computer-based automatic detection of abnormality and diseases saves time, and is more accurate, thus creating a huge impact on the community and humanity and helps achieve the UN sustainable development goals.
Date and Time
- Date: 22 Oct 2021
- Time: 12:00 PM to 01:00 PM
- All times are US/Eastern
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Location
- This event has virtual attendance info. Please visit the event page to attend virtually.
Hosts
- Richmond Section Chapter, C16
- Richmond Section Jt. Chapter, MAG33/EMB18
- Richmond Section Affinity Group,WIE
- Virginia Commonwealth Univ
- Northern Virginia/Washington Jt Chapter, C16
- Washington/Northern Virginia Jt Chapter,EMB18
Registration
- Starts 30 September 2021 04:08 AM
- Ends 22 October 2021 11:59 PM
- All times are US/Eastern
- No Admission Charge
Speakers
Dr. Celia Shahnaz of Dept. of Electrical & Electronic Engineering, Bangladesh University of Engineering and Technology