Deep Learning for Medical Imaging

Speaker:  Geeta Chauhan – Santa Clara, CA, United States
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


The talk covers use cases, special challenges and solutions for Deep Learning for Medical Image Analysis. You will learn about:

- Use cases for Deep Learning in Medical Image Analysis
- Different DNN architectures used for Medical Image Analysis
- Special purpose compute / accelerators for Deep Learning (in the Cloud / On-prem)
- How to parallelize your models for faster training of models and serving for inferenceing.
- Optimization techniques to get the best performance from your cluster (like Kubernetes/ Apache Mesos / Spark)
- How to build an efficient Data Pipeline for Medical Image Analysis using Deep Learning
- Resources to jump start your journey - like public data sets, common models used in Medical Image Analysis  

Source Slides:

About this Lecture

Number of Slides:  30 - 40
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.