A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images

This article describes a suite of services and web applications that allow users to select regions of interest in whole slide tissue images, run a segmentation pipeline on the selected regions to extract nuclei and compute shape, size, intensity, and texture features, store and index images and analysis results, and visualize and explore images and computed features. All the services are deployed as containers and the user-facing interfaces as web-based applications. The set of containers and web applications presented in this article is used in cancer research studies of morphologic characteristics of tumor tissues. The software is free and open source. Cancer Res; 77(21); e79–82. ©2017 AACR.

http://cancerres.aacrjournals.org/content/77/21/e79.short?rss=1

Source: Cancer Research - October 31, 2017 Category: Cancer & Oncology Authors: Joel Saltz, Ashish Sharma, Ganesh Iyer, Erich Bremer, Feiqiao Wang, Alina Jasniewski, Tammy DiPrima, Jonas S. Almeida, Yi Gao, Tianhao Zhao, Mary Saltz, Tahsin Kurc Tags: Focus on Computer Resources Source Type: research