Computer Vision News - August 2018
Design goals • The purpose of NiftyNet is to bring a large database of research and researchers together to arrive at results that no single researcher involved could have achieved on their own. • NiftyNet aims at providing a standard, well-validated evaluation platform, with measures relevant to the medical field, to make it easier to share models using a model zoo. • To provide service to the full spectrum of users: from a clinician interested in quantitative methods and possibly wanting to run a simple experiment using the platform, to a team of developers and highly technical users. • To streamline the development of deep learning solutions for medical imaging and to provide a common platform for researchers. System overview The figure below gives an overview of the components of NiftyNet: an input image source comes in at the top left. A network output comes out at bottom left. On the right, a selected application works on the image. NiftyNet 15 Tool Computer Vision News
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