You are here

Project Wizard

You can use the category filters given on the right sidebar to narrow down your search results.

Real-time Outbreak and Disease Surveillance (RODS)

Rating: 
Your rating: None Average: 2.7 (6 votes)

"Real-time Outbreak and Disease Surveillance (RODS) is open-source public health surveillance software. RODS collects and analyzes disease surveillance data in real time and has been in development since 1999 by the RODS Laboratory. In 2002, the Utah Department of Health used the software for monitoring during the Winter Olympics Games. At present, health departments and other groups in the United States, Canada and Taiwan use the software."

ImmunoRatio

Rating: 
Your rating: None Average: 3.3 (12 votes)

ImmunoRatio is a free web application for automated image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67 immunostained tissue sections.

The application:

  1. segments diaminobenzidine-stained (DAB) and hematoxylin-stained nuclei regions from the user-submitted image,
  2. calculates the percentage of DAB-stained nuclear area over total nuclear area (=labeling index), and
  3. generates a pseudo-colored result image matching the area segmentation (see the example on right side).

cancer Biomedical Informatics Grid (caBIG)

Rating: 
Your rating: None Average: 3 (3 votes)

The National Cancer Institute (NCI) has launched the caBIG initiative to accelerate research discoveries and improve patient outcomes by linking researchers, physicians, and patients throughout the cancer community.

MRmap

Rating: 
Your rating: None Average: 3.2 (14 votes)

MRmap is a flexible software tool that enables T1, T2, and T2* mapping from source images of multiple types of pulse sequences (IR-prepared multi-image T1 mapping, Look-Locker/ TOMROP T1 mapping, MOLLI T1 mapping; single- and multi-echo T2/ T2* mapping).

MRmap is a pure research tool and is not intended for any diagnostic or clinical use.

AMIDE

Rating: 
Your rating: None Average: 3.8 (11 votes)

Amide's a Medical Imaging Data Examiner (AMIDE) is a completely free tool for viewing, analysing, and registering volumetric medical imaging data sets. It's been written on top of GTK+ , and runs on any system that supports this toolkit (Linux, Windows, Mac OS X with fink, etc.).

C# ECG Toolkit

Rating: 
Your rating: None Average: 2.5 (17 votes)

C# ECG Toolkit is an open source software toolkit to convert, view and print electrocardiograms. The toolkit is developed using C# .NET 1.1 & 2.0. Support for ECG formats: SCP-ECG, DICOM and HL7 aECG.

Vurtigo

Rating: 
Your rating: None Average: 3 (3 votes)

Vurtigo is a four-dimensional (3D + time) real-time visualization software for guiding cardiovascular interventions. It is designed to be part of a pipeline that can connect it to a magnetic resonance imaging (MRI) scanner, actively tracked catheters, and navigational devices.

Written in C++ under the GNU Lesser General Public License v2.1, Vurtigo features a plug-in based architecture, allowing developers to extend the software using an interface to manipulate objects within Vurtigo. The software runs on Win32, Linux and Mac OS X.

JULIDE

Rating: 
No votes yet

JULIDE is a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections.

DataViewer3D (DV3D)

Rating: 
Your rating: None Average: 3 (1 vote)

DataViewer3D (DV3D) is a multi-modal imaging data visualization tool offering a cross-platform, open-source solution to simultaneous data overlay visualization requirements of imaging studies.

WEKA

Rating: 
Your rating: None Average: 2.7 (3 votes)

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Pages