Andrew Janowczyk

Search
Skip to content
  • Open-source tools
  • Deep Learning Datasets
  • About Me

Tag Archives: efficiency

Deep Learning, Digital Histology

Revised Deep Learning approach using Matlab + Caffe + Python

August 24, 2016 choosehappy 51 Comments

Our publication “Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases” , showed how to use deep learning to address many common digital pathology tasks. Since then, many improvements have been made both in the field and in my implementation of them. In this blog post, I re-address the nuclei segmentation use case using the latest and greatest approaches.

Continue reading Revised Deep Learning approach using Matlab + Caffe + Python →

caffedeep learningefficiencymatlabnuclei segmentationpythontutorial
Deep Learning, Digital Histology

Tutorial: A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images

April 29, 2016 choosehappy 4 Comments

This tutorial provides a tutorial on using the code and data for our paper “A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images” by Andrew Janowczyk, Scott Doyle, Hannah Gilmore, and Anant Madabhushi.

Continue reading Tutorial: A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images →

deep learningefficiencyhierarchicalnuclei segmentationRADHicaLsegmentation

Tidbits from along the way

Recent Posts

  • Ray: An Open-Source Api For Easy, Scalable Distributed Computing In Python – Part 3 Intro to Serving Models
  • Ray: An Open-Source API For Easy, Scalable Distributed Computing In Python – Part 2 Distributed Scaling
  • Ray: An Open-Source Api For Easy, Scalable Distributed Computing In Python – Part 1 Local Scaling
  • Approach for Easy Visual Comparison between ground-truth and predicted classes
  • Using QuPath To Help Identify An Optimal Threshold For A Deep Or Machine Learning Classifier

Recent Comments

  • choosehappy on De-array a Tissue Microarray (TMA) using QuPath and Python
  • natasha on De-array a Tissue Microarray (TMA) using QuPath and Python
  • Peter Grey on A masterclass in Scientific CV writing
  • choosehappy on Converting an existing image into an Openslide compatible format
  • John Vinicio on Converting an existing image into an Openslide compatible format

Archives

  • March 2023
  • February 2023
  • January 2023
  • November 2022
  • October 2022
  • August 2022
  • May 2022
  • December 2021
  • November 2021
  • September 2021
  • May 2021
  • December 2020
  • October 2020
  • April 2020
  • October 2019
  • August 2019
  • June 2019
  • April 2019
  • March 2019
  • December 2018
  • October 2018
  • August 2018
  • July 2018
  • April 2018
  • November 2016
  • August 2016
  • July 2016
  • April 2016
  • February 2016
  • December 2015
  • November 2015
  • October 2015
  • September 2015
  • March 2015
  • February 2015
  • January 2015

Categories

  • Deep Learning
  • Digital Histology
  • Python
  • Uncategorized

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
Proudly powered by WordPress