Deep Learning for general purpose quality control of medical images

Subsection: Translational Imaging Group (TIG) within the Centre for Medical Imaging Computing (CMIC)Duration: 3 yearsStipend: £16,851 per annum tax-free, full fees paid.Applications are invited for a PhD funding opportunity based within the Translational Imaging Group of the Centre for Medical Image Computing at UCL, and sponsored by Brainminer,ltd. and the EPSRC, commencing in October/November 2014.The Quantitative Neuroradiology Initiative (QNI), a joint venture between the Translational Imaging Group and the National Hospital for Neurology and Neurosurgery, aims to translate novel state-of-the-art imaging biomarkers to clinical practice, improving patient care. These machine learning algorithms and mathematical models have shown to produce clinically useful biomarkers under the assumption that the input imaging data is of sufficient quality. This project aims to use advanced machine learning techniques, namely deep learning, to detect problematic input…

Link to Full Article: Deep Learning for general purpose quality control of medical images

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