The one-day workshop on "3D Medical Image Computing using Deep Learning Techniques for CT & MR" was successfully conducted with active participation.
The session provided an in-depth understanding of medical image processing, focusing on 3D volumetric data from CT and MRI scans.
Participants explored the fundamentals of medical imaging, preprocessing techniques, and the application of Convolutional Neural Networks (CNNs) and 3D U-Net models for segmentation tasks.
Hands-on sessions allowed attendees to work on real-world datasets using Python and deep learning frameworks like TensorFlow and PyTorch.
The resource person also discussed recent advancements in AI for healthcare diagnostics and challenges in working with high-dimensional medical data.
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Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.