Some Perspectives on Deep Semantic Segmentation of Images with Application to Computer-aided Medical Diagnostics

Speaker:  Swagatam Das – Kolkata, India
Topic(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:  60
Duration:  60 minutes
Languages Available:  English
Last Updated: 

Request this Lecture

To request this particular lecture, please complete this online form.

Request a Tour

To request a tour with this speaker, please complete this online form.

All requests will be sent to ACM headquarters for review.