نتائج البحث - "Myndgreining (læknisfræði)"

1

Advancing clinical evaluation and diagnostics with artificial intelligence technologies

المؤلفون: Recenti, Marco

المساهمون: Gargiulo Paolo, Department of Engineering (RU), Verkfræðideild (HR), School of Technology (RU), Tæknisvið (HR), Reykjavik University, Háskólinn í Reykjavík

مصطلحات موضوعية: Aging, Motion sickness, Artificial intelligence, Öldrun, Gagnasöfn, Myndgreining (læknisfræði), Biomedical datasets, Brjóskeyðing, Gervigreind, Vélrænt nám, Lífmerki, Heilbrigðisverkfræði, Machine learning, Doktorsritgerðir, Lífeindafræði, Medical imaging, Knee cartilage, Biosignals, Hné, Ferðaveiki

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3712::e4bb3f2465c2672757e809e565bf7520
https://hdl.handle.net/20.500.11815/4204

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SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder

المؤلفون: Vilmundur Gudnason, Hans E. Atlason, Askell Love, Sigurdur Sigurdsson, Lotta Maria Ellingsen

المساهمون: Rafmagns- og tölvuverkfræðideild (HÍ), Faculty of Electrical and Computer Engineering (UI), Læknadeild (HÍ), Faculty of Medicine (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland

المصدر: NeuroImage: Clinical, Vol 24, Iss, Pp-(2019)
NeuroImage : Clinical

مصطلحات موضوعية: Male, Computer science, computer.software_genre, Convolutional neural network, lcsh:RC346-429, Segmentation, 0302 clinical medicine, Voxel, Image Processing, Computer-Assisted, White matter hyperintensity, Medical diagnosis, Aged, 80 and over, Ground truth, Myndgreining (læknisfræði), 05 social sciences, Brain, Regular Article, Autoencoder, Magnetic Resonance Imaging, White Matter, Neurology, lcsh:R858-859.7, Female, CNN, Cognitive Neuroscience, lcsh:Computer applications to medicine. Medical informatics, 050105 experimental psychology, 03 medical and health sciences, Deep Learning, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, lcsh:Neurology. Diseases of the nervous system, Aged, business.industry, Deep learning, Heilinn, Pattern recognition, Image Enhancement, Hyperintensity, Neural Networks, Computer, Neurology (clinical), Artificial intelligence, business, computer, 030217 neurology & neurosurgery, Unsupervised Machine Learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74b0f53e1f29c8c95822f1e57363d888
https://doi.org/10.1016/j.nicl.2019.102085

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Quantitative Computed Tomography and image analysis for advanced muscle assessment

المؤلفون: Francesco Piccione, Magnus K. Gislason, Kyle J. Edmunds, Paolo Gargiulo, Andrea Marcante, Iris D. Arnadottir

المساهمون: Institute of Biomedical and Neural Engineering (IBNE) (RU), Tækni- og verkfræðideild (HR), School of Science and Engineering (RU), Háskólinn í Reykjavík, Reykjavik University

المصدر: European Journal of Translational Myology
European Journal of Translational Myology, Vol 26, Iss 2 (2016)

مصطلحات موضوعية: lcsh:Medicine, Context (language use), advanced muscle assessment, Image analysis, lcsh:QM1-695, Advanced muscle assessment, Sneiðmyndatökur, 03 medical and health sciences, 0302 clinical medicine, image analysis, Hounsfield scale, medicine, Medical imaging, Orthopedics and Sports Medicine, Quantitative computed tomography, Quantitative Computed Tomography, FES, Molecular Biology, Loose connective tissue, medicine.diagnostic_test, Myndgreining (læknisfræði), business.industry, lcsh:R, lcsh:Human anatomy, 030229 sport sciences, Cell Biology, Anatomy, Fascia, Myology Made in Italy, Tendon, Vöðvar, medicine.anatomical_structure, Myology, Neurology (clinical), business, 030217 neurology & neurosurgery