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Evren Ozkan 2bd1db7710 - Update cornerstoneTools to 2.2.0

- Remove scale overlay tool which was moved into cornerstoneTools

2018-04-02 12:56:01 -04:00

.gagarin

Added starrynight test setup

2016-01-25 21:46:41 +01:00

.meteor

- Update cornerstoneTools to 2.2.0

2018-04-02 12:56:01 -04:00

bin

Bugfix for moving next/previous buttons

2017-03-02 10:18:11 -03:00

client

Allow extending the metadata provider class

2018-03-02 17:06:40 -05:00

public/images

Updated logo to the OHIF logo

2015-11-05 13:45:11 -05:00

server

Move towards NPM for Cornerstone dependencies

2017-06-15 09:18:54 +02:00

tests/nightwatch

Added nightwatch starrynight scaffold folder

2016-01-26 17:57:50 +01:00

.eslintrc.json

Add ESLint configuration

2016-11-15 08:25:09 +01:00

activeEntry.js

PWV-1: Fixing merging issues

2016-11-15 08:24:30 +01:00

package.json

Update babel-runtime

2017-06-15 10:54:36 +02:00

README.md

Add title to LesionTracker README

2017-12-05 18:00:35 -05:00

runGagarinTests.sh

Added starrynight test setup

2016-01-25 21:46:41 +01:00

runNightwatchTests.sh

Added starrynight test setup

2016-01-25 21:46:41 +01:00

README.md

LesionTracker

LesionTracker is an open source, zero-footprint image viewer focused on oncology clinical trial workflows. It is built using Meteor platform which enables modularity with a set of packages of the OHIF framework.

Why LesionTracker?

LesionTracker brings an user experience for the basic tumor metrics through web browser. It provides a DICOM server for storing and streaming images to the viewer, tools for measuring and following lesions over time, and a database for measurements of overlay data. A web-based system for image assessments rather than a workstation-based installed application will improve workflow efficiency, enhance accessibility, and promote collaborative image review for the radiologists at cooperating cancer centers.

To get started, checkout LesionTracker Documentation