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An open-source convolutional neural networks platform for research
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...
Version 2.5 is available! The latest changes are in TFastList class. It is the secondary class intended for fast string managment. The newest TGraph component is available as well.
The new ParseUtils.FindFormula method allows searching any of possible formulas within some text.
Parse components are intended for Delphi developers and perform high-speed (about 10 million evaluations per second) mathematics and boolean calculations.