Deepak Roy Chittajallu | HistomicsTK: An open source python toolkit for web based analysis of dig

1,409 views · Published 6 October 2016 · 28:01 · Indexed 31 October 2026

Channel: PyData · 2016 · Science & Technology

Watch on YouTube

PyData Carolinas 2016

In this talk, we will present our ongoing effort behind the development of HistomicsTK, an open-source python toolkit for integrated web-based analysis of large collections of digital histopathology data (2D images of a thin-slice of diseased tissue at a microscopic resolution) used for the clinical diagnosis, staging, and prognosis of several diseases including cancer. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps

More from this channel

• 31:23 Kostas Perifanos - Authorship Attribution Using Python

  PyData

  2,672 views · 3 April 2014

• 31:08 Prash Majmudar - Measuring the Digital Economy Using Big Data

  PyData

  557 views · 3 April 2014

• 36:26 Ian Ozsvald - The High Performance Python Landscape

  PyData

  4,646 views · 3 April 2014

• 37:48 Mike Muller - Shared Memory Parallelism with Python

  PyData

  3,430 views · 3 April 2014

• 35:01 Martin Goodson - Most Winning A/B Test Results are Illusory

  PyData

  3,184 views · 3 April 2014

• 30:19 Mark Basham - Python for High Throughput Science

  PyData

  556 views · 9 April 2014

• 1:13:42 David Cournapeau & Simon Jagoe - Narrowing the Gap Between Array Computing and Databases

  PyData

  644 views · 13 April 2014

• 31:38 Emlyn Clay - Phython, Pharmaceuticals & Discovery

  PyData

  806 views · 14 April 2014