[Faculty] Fwd: [CSRC-SDSU COLLOQUIUM]: Image and Video Analytics for Healthcare using neural networks

[Jose Castillo]

*DATE: * Friday, April 14th, 2017

*TITLE:* Image and Video Analytics for Healthcare using neural networks

*TIME: * 3:30 PM

*LOCATION: * GMCS 314

*SPEAKER:*   Mr. Prasad Kothari, Analytics Manager at PwC

*ABSTRACT:  *Image and Video Analytics has been most talked solution in
healthcare and other sectors. Convolutional Neural Networks, Recurrent
Neural Networks and adversarial neural networks have been major tools to
identify and predict diseases based on healthcare images such as lab
reports, MRI/CT scans, X-Rays or simple image of retina taken by an iphone
to detect retinopathy diabetes. This talk will also explore analyzing EEG
videos to predict brain seizures etc. Not restricting to healthcare, we
will discuss few other uses of image and video analytics in other sectors
as well such as retail, banking, customer satisfaction etc.

This will be also brief overview of how Convolutional Neural Network and
adversarial neural networks work in terms of classifying images and
identifying objects in different images. The talk will also involve how
Ricci Flow and Perelman Entropy can help in predicting future images and
future video movements based on current videos.

*HOST:*  Dr. Parag Katira
















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Jose E. Castillo  Ph.D.

Director / Professor

Computational Science Research Center

5500 Campanile Dr

San Diego State University

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 http://www.csrc.sdsu.edu/mimetic-book/
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