2-D Biosignal Processing for Automation in Disease detection based on Deep Neural Networks
IEEE Computer Society - San Diego Chapter
2023 Invited Seminar Series: Lecture 4
To treat the diseases or injuries of the joints, bones, muscles, and spine in both adult and pediatric imaging 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. Other 2-D images are utilized for Tuberculosis and 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 creating a huge impact on the community and humanity.
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- Date: 25 Apr 2023
- Time: 06:00 PM to 07:00 PM
- All times are (UTC-07:00) Pacific Time (US & Canada)
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- Starts 04 April 2023 12:00 AM
- Ends 25 April 2023 07:00 PM
- All times are (UTC-07:00) Pacific Time (US & Canada)
- No Admission Charge
Speakers
Celia Shahnaz of Bangladesh University of Engineering and Technology
2-D 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 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. Other 2-D images are utilized for Tuberculosis and 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 creating a huge impact on the community and humanity.
Biography:
Celia Shahnaz, SMIEEE, Fellow IEB, received a Ph.D. degree from Concordia University, Canada, and is currently a professor at, the Department of EEE, BUET, Bangladesh since 2015. She was the winner of the Canadian Common Scholarship for pursuing her Ph.D. study in Canada and the recipient of the Bangladesh Academy of Science Gold Medal for her contributions to science and technology. The World Academy of Science (TWAS) members have elected her as a Fellow of TWAS for the advancement of science in developing countries, effective 1 January 2023. Recently, her nomination has been approved and she has been inducted into IEEE-Eta Kappa Nu as a Professional Member of the Eta Chapter of the Board of Governors.
She has been elected as the 2022 IEEE WIE Committee Chair-Elect and she is serving as the 2023-2024 IEEE WIE Committee Chair. She has been appointed as a 2022-23 Member of the IEEE New Initiative Committee, a 2021-23 Member of the IEEE History Committee, and a Liaison between the IEEE History Committee and IEEE WIE. She has served as 2021-23 Chair, of IEEE SPS Women in Signal Processing, 2021-23 Liaison between IEEE SPS and IEEE WIE, 2021-22 Member of IEEE Educational Activities Board Faculty Resource Committee, 2022 Member, IEEE WIE Strategic Planning Committee, 2021 Chair, IEEE WIE History Subcommittee, 2020-21 Member, IEEE WIE Senior Member Elevation Drive and 2019-2022 Member, IEEE WIE WePower Subcommittee. She has served as an Editorial board member of IET Signal Processing From 2018 to date. She is the immediate past Chair of the IEEE Bangladesh Section, Co-founder & Chair of IEEE EMBS, IAS, RAS, and SSIT Bangladesh Chapters, Co-founder & Vice-Chair of IEEE SPS Bangladesh Chapter, Founder, and Advisor of WIE AG, and founder and Chair of SIGHT group FLASH, IEEE Bangladesh Section.
She is the recipient of the 2021 IEEE MGA Achievement Award, the 2021 Inspiring Women in Academia Award from the Bangladesh brand forum, the 2019 R10 Humanitarian Activities Outstanding Volunteer Award, the 2016 MGA Leadership Award 2015 WIE Inspiring Member Award, the 2013 R10 WIE Professional Volunteer Award. She has more than 22 years of experience (22 years as an IEEE volunteer) in leading impactful Technical, Professional, Educational, Industrial, Women Empowerment, Humanitarian Technology, and Power, and Energy-related Projects at national/international levels.
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