Expert Talk on Deep Learning for Medical Informatics
Bakul Gohel: An assistant professor and researcher at Dhirubhai Ambani Institute of Information
and Communication Technology (DA-IICT) since 2018. His current research interest lies in
the field of biomedical image and signals analysis, deep learning architecture and its
applications, bio-medical instrumentation, and brain signal analysis.
An expert lecture was conducted on Deep Learning for Medical Informatics on 21st March 2024
between 2-4 pm. The event reflected on deep learning in medicine and informatics and provided
insights about various DL-related topics. Deep learning, a subfield of artificial intelligence, is gaining
significant application in various industrial sectors, including healthcare. Complementary, data-driven
deep learning-based technologies have excellent potential in the healthcare sector as hospitals
increasingly adopt digitization and storage of medical data. The session talked about the various
deep learning approaches: like ANN and CNN application in analyzing various medical signals and images.
Date and Time
Location
Hosts
Registration
- Date: 21 Mar 2024
- Time: 02:00 PM to 04:00 PM
- All times are (UTC+05:30) Chennai
-
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- Nirma University
- SG Highway
- Ahmedabad, Gujarat
- India
- Building: A block
- Room Number: 101
- Contact Event Host
- Co-sponsored by IEEE Young Professionals
- Starts 17 March 2024 11:58 PM
- Ends 21 March 2024 12:02 AM
- All times are (UTC+05:30) Chennai
- No Admission Charge
Agenda
Topics covered:
● Computer-aided data analysis 3D segmentation
● Knowledge generation with the application of Big data analytics
● ICT in healthcare
● Digital Medical records
● Usage of Medical (healthcare) Data, organization of records, and DL.
● AI and its application in Industry 4.0
● Short brief on AI, ML, and DL
● Why DL is more efficient and its usage
● Challenges and problems occurring
● Assistance→ using Decision making
● ML:
1) Steps and processes (explanation of Blackbox)
2) Formula
● Neural Networks
● Perceptron using Artificial neuron
● Multilayer Perceptron
● ANN
Professor Mayuresh Kulkarni’s introduction was spoken by the host and he was invited for his
presentation.
Topics covered:
● Signal Processing
● Remote Sensing
● Membership Drive
1) Information regarding IEEE membership and its importance.
2) Q/A session regarding the IEEE membership.
Bakul Sir’s Presentation continued:
● Receptive Field → high and low pass filters and introduction to image processing
● CNN
● Nuclear Segmentation
● Ensemble methods
● DL in healthcare
● Medical image segmentation
● Ensemble as ROI localiser
● DL→ time series data
● Key issues discussion
● Insight into the current ongoing work of Sir.
The presentation ends at 15:20.
→ Q/A session conducted
Manish Sir begins the presentation.
Topics:
● Information regarding IEEE SPS (Signal Processing Society) and membership
● Portal related information
● Internship