
FDP on Artificial Intelligence and Machine Learning for Medical Image Analysis using Python 2023
MEET YOUR MOMENT.
About the event
FDP on Artificial Intelligence and Machine Learning for Medical Image Analysis using Python
Greetings from the Dept. of Electronics and Communication Engineering, CMR Institute of Technology (NAAC A++), Bengaluru.
We are happy to share that the Department of Electronics and Communication Engineering is organizing 5 Days (online) Faculty Development Programme on Topic: “Artificial Intelligence and Machine Learning for Medical Image Analysis using Python”
Duration: 21st Aug to 25th Aug 2023
Mode: Online
Registration fee: Rs.500/-
The Registration details are given in the Brochure.
Target Participants: Research scholars, Faculty Members, and Industrialists.
Registration Link is given below and in the brochure.
https://forms.gle/CFCJy6MGs3PPS2pSA
It is mandatory to fill the above google form for registration Confirmation.
We request you to kindly recommend & instruct your Research Scholars and Faculty Members to actively participate in our FDP.
The number of participants is limited and the selection is based on a First Come - First Served Basis
Events & highlights
Deep Learning using PyTorch for Image Analysis
Thermal Image Processing for Bio Medical Images.
CNN Image Analysis.
Image Feature Extraction & Texture Feature Classification.
Image Enhancement using Deep Learning Techniques.
Introduction to Reinforcement learning and its application in image domain
Generative Adversarial Network (GAN) for Images (with hands on MNIST dataset)
ML and DL algorithms for medical images
Application of Thermal Imaging in Bio-Medicine
Meet the organizer
Explore CMR Institute of Technology Bengaluru ↗Event type details
Faculty Development Program
Registration deadline / Important dates
16.08.2023
How to Reach
CMR Institute of Technology 132 AECS Layout ITPL Main Road, Kundalahalli Bangalore 560037, India
Featured events
Standout experiences from across the community.
Recommended events
Explore more upcoming experiences like this.



