|Bioconductor||Software||05/08/2018 - 15:24|
|cvMatch_Template||Software||Component||05/09/2018 - 04:06|
|Template Matching and Slice Alignment--- ImageJ Plugins||Software||Collection||05/09/2018 - 04:08|
|Excel||Software||05/07/2018 - 18:29|
|CSBDeep, a toolbox for Content-aware Image Restoration (CARE) in Knime||Software||Collection, Component||
Deep learning based restoration, with guidelines for training. See also the Fiji plugin.
|05/07/2018 - 18:25|
|CSBDeep, a toolbox for Content-aware Image Restoration (CARE) in Fiji||Software||Component||
Deep learning for fluorescence image restoration (denoising, deconvolution). Requires training on your data set but the procedure is described.
|05/07/2018 - 18:20|
|MATLAB Optimization toolbox||Software||04/28/2018 - 18:49|
|MATLAB Statistics toolbox||Software||04/28/2018 - 18:49|
|scipy||Software||04/27/2018 - 01:54|
|PIL||Software||04/27/2018 - 01:54|
|numpy||Software||04/27/2018 - 01:54|
|R Project for Statistical Computing||Software||04/18/2018 - 11:45|
Neuroconductor is an open-source platform for rapid testing and dissemination of reproducible computational imaging software, specialized in brain medical imaging (MRI, fMRI, DTI, etc...) but that could be used on a wider range of images. The goals of the project are to:
|04/18/2018 - 11:45|
CompuCell3D is a flexible scriptable modeling environment, which allows the rapid construction of sharable Virtual Tissue in-silico simulations of a wide variety of multi-scale, multi-cellular problems including angiogenesis, bacterial colonies, cancer, developmental biology, evolution, the immune system, tissue engineering, toxicology and even non-cellular soft materials. CompuCell3D models have been used to solve basic biological problems, to develop medical therapies, to assess modes of action of toxicants and to design engineered tissues.
|05/06/2018 - 16:07|
Elastix is a toolbox for rigid and nonrigid registration of (medical) images.
Elastix is based on the ITK library, and provides additional algorithms for image registration.
The software can be run as a single-line command, making it easy to include in larger scripts or workflows. The user needs to edit a configuration file that contains all relevant parameters for registration: transformation model, metric used to comapre images, optimization algorithm, mutliscale pyramidal representation of images...
|04/11/2018 - 13:03|
|Cancer Imaging Phenomics Toolkit (CaPTk)||Software||Collection||
CaPTk is a software platform for analysis of radiographic cancer images, currently focusing on brain, breast, and lung cancer. CaPTk integrates advanced, validated tools performing various aspects of medical image analysis, that have been developed in the context of active clinical research studies and collaborations toward addressing real clinical needs.
|05/08/2018 - 04:52|
|https://github.com/NifTK/NiftyNet/tree/dev/demos||Training Material||03/20/2018 - 18:06|
NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can:
|05/08/2018 - 15:36|
|Docker ParaViewWeb||Software||Component||03/16/2018 - 12:55|
|Galaxy Image Analysis Tools||Software||Collection||
Image analysis tools to be used within Galaxy
|03/16/2018 - 12:51|