ITK Tutorial Presentation Slides-943

Talk @ ACM SF Bayarea Chapter on Deep Learning for medical imaging space. The talk covers use cases, special challenges and solutions for Deep Learning for Medical Image Analysis using Tensorflow+Keras. 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

http://hdl.handle.net/1926/161

Économie & finance

The Insight Software Consortium http://www.InsightSoftwareConsortium.org Educating users and developers of open-source, medical image analysis software

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