ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.4 or later virtual machine. Downloadable distributions are available for Windows, Mac OS, Mac OS X and Linux.
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Stratos viewer is a web based utility to examine DICOM medical images through a web browser.
ImmunoRatio is a free web application for automated image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67 immunostained tissue sections.
- segments diaminobenzidine-stained (DAB) and hematoxylin-stained nuclei regions from the user-submitted image,
- calculates the percentage of DAB-stained nuclear area over total nuclear area (=labeling index), and
- generates a pseudo-colored result image matching the area segmentation (see the example on right side).
Oviyam is a web based DICOM Viewer. Using standard DICOM protocols patient lists can be queried, particular series or studies retrieved and be displayed as JPEG images in your browser. Oviyam will work with any DICOM server that supports WADO (Web Access to DICOM Persistent Objects).
Oviyam is a free download and is pre-packaged for deployment with JBoss.
The source is triple licensed under MPL 1.1/GPL 2.0/LGPL 2.1.
Oviyam is built using the dcm4che toolkit and script.aculo.us framework.
Weasis is a multipurpose web-based viewer with a highly modular architecture. It has been designed to meet several expectations of clinical information systems and their future evolution regarding medical imaging: providing a web-based access to radiological images, as well as offering multimedia capabilities.
Weasis can be easily interfaced to any PACS supporting WADO via a web portal or as an XDS-I consumer in an IHE (Integrating the Healthcare Enterprise) environment (not yet fully implemented). It has been successfully interfaced to dcm4chee and commercial PACS.
OpenEyes is a collaborative, open source, project led by Moorfields Eye Hospital. The goal is to produce a framework which will allow the rapid, and continuous development of electronic patient records (EPR) with contributions from Hospitals, Institutions, Academic departments, Companies, and Individuals.
The initial focus is on Ophthalmology, but the design is sufficiently flexible to be used for any clinical specialty.