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Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases

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Year: 2020
Type: other
Source: Neuroinformatics
DOI: 10.1007/s12021-020-09485-5
Authors: Baris Kanber, Jasper M Morrow, Uros Klickovic, Stephen Wastling, Sachit Shah, Pietro Fratta, Amy R McDowell, Matt G Hall, Chris A Clark, Francesco Muntoni, Mary M Reilly, Michael G Hanna, Daniel C Alexander, Tarek Yousry, John S Thornton
Institutions: UCL Queen Square Institute of Neurology, University College London, University College London Hospitals NHS Foundation Trust, Great Ormond Street Hospital, National Physical Laboratory, National Institute for Health and Care Research
Language: English

Topic: Medical Image Segmentation Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: Wellcome Trust, National Institute for Health and Care Research, Motor Neurone Disease Association, Rosetrees Trust, Medical Research Council
Awards: G1096054223, G2221421758, G4321067700, G4510347995, NIHR Senior Investigator Award, G7409487010, G8625208683, G8626676445
OpenAlex ID: W3083559923
Cites:
Cited by: 10
Related to: 10
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