Big data in medical image processing (Konstantin Bychenkov, SECR-2015) — различия между версиями

== Summary ==
;Speaker: {{Speaker|Евгений Виноградов}}
<blockquote>
Real time scoring and classification of transactions usulally need a special approach to data warehouse architecture.

What if you need a scoring based on virtually unlimited amounts of data, which should Константин Быченков}}
<blockquote>
Big data meets image processing: friends or foes?

In this presentation, we examine how the proper choice of big data tools and technologies helps deliverup-to-date and scalable?

At the conference I’m going to talk on architecture that was efficent in our case, issues that we faced and approaches we used that led us to success imaging solutions that allow extraction of a variety of artifacts from medical images.

We also explore the differences between traditional algorithms such as Markov’s fields and convolutional neural networks (CNNs).

The insights can be applied to image processing beyond medical imaging.

English translation of the talk [[От истории к векторам — хранилище данных для системы скорингаBig Data в обработке медицинских изображений (Евгений ВиноградовКонстантин Быченков, SECR-2015)]]
</blockquote>

== Video ==

{{vimeoembed|143683006|800|450}}

<!-- {{youtubelink|}} -->

== Slides ==
[[File:Big Data в обработке медицинских изображений (Константин Быченков, SECR-2015).pdf|left|page=-|256px]]

{{----}}
== References ==
<!-- <blockquote>[©]</blockquote> -->

* [http://2015.secr.ru/lang/en/program/submitted-presentations/big-data-in-medical-images-processing The Conference Page]

<references/>

[[Category:SECR-2015]]
[[Category:Talks in English]]