Some Perspectives on Deep Semantic Segmentation of Images with Application to Computer-aided Medical Diagnostics
Speaker: Swagatam Das – Kolkata, IndiaTopic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
Abstract
Semantic segmentation can be conceptualized as a form of pixel-level image classification. The domain has witnessed significant growth, particularly with the advent of deep convolutional architectures such as Fully Convolutional Models, U-Net, and DeepLab V3. This presentation will commence by establishing the fundamental concepts of deep image segmentation networks. It will subsequently delve into compelling applications, specifically focusing on Chest X-ray and Brain MRI segmentation, which plays a crucial role in the medical diagnosis of specific diseases. Additionally, the talk will outline forthcoming challenges and unexplored research directions within this domain.About this Lecture
Number of Slides: 60Duration: 60 minutes
Languages Available: English
Last Updated:
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