Search Results for "medical image"

An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. 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 get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging...

Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/

Brain imaging software produced by the Brain Research Imaging Centre of The University of Edinburgh.

The MRiLab project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MRiLab/ The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging...

SimpleElastix is an extension of SimpleITK that comes with the elastix C++ image registration library. This makes state-of-the-art medical image registration really easy to do in languages like Python, Java, C# and R.

The application was designed for the real time contactless photoplethysmography of the human face by means of an ordinary webcam in ambient light environment System requirements: - AMD or Intel CPU with 2 cores and 2.6 GHz clock speed (or higher); - 512 Mb of RAM (or higher); - OS Microsoft Windows 10/8/7/XP, booth 32 and 64 bit versions; - A RGB webcam (Logitech B910 is the best choice).

The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited...

Relying on existing image collections such as the Visible Human (VHP), this project would provide an interactive teaching tool professionals and students that need training in interpretation of radiology anatomy from tomographic imaging techniques.

Image Restoration and Inpainting: MinGW/OpenGL/Visual c++/Java image processing enhancing/restoring/detecting/recovering image parts(Old painting cracks...) FastRestorarion, 2D (Un)Splitted Linear Solver, nonlinear solver: conjugate gradient,QuasiNewton

QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.

The virtual lab is a NASA-funded project to provide simulated instrumentation. ITG has developed a Virtual Microscope (Virtual SEM and LM) for viewing high-resolution, multi-dimensional image datasets. More info and data: http://virtual.itg.uiuc.edu

Horos™ is a free, open source medical image viewer. The goal of the Horos Project is to develop a fully functional, 64-bit medical image viewer for OS X. Horos is based upon OsiriX and other open source medical imaging libraries. Horos is made available under the GNU General Public License, Version 3 (GPL-3.0).