Search Results for "medical image editor"

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/

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).