Deep Learning for Biomedical and Healthcare Applications : vTools eNotice

IEEE.org | IEEE Xplore Digital Library | IEEE Standards | IEEE Spectrum | More Sites

Deep Learning for Biomedical and Healthcare Applications

To view complete details for this event, click here to view the announcement

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.

For the benefit of those who are unable to attend live, a link to the recording of the meeting will be sent to all registrants.

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.