Objective quantification and analysis of laryngeal obstruction using deep learning algorithms

E. Walsted (Copenhagen, Denmark), J. Lin (London, United Kingdom), D. Elson (London, United Kingdom), J. Hull (London, United Kingdom)

Source: International Congress 2018 – New perspectives on asthma, cough and laryngeal obstruction
Session: New perspectives on asthma, cough and laryngeal obstruction
Session type: Oral Presentation
Number: 3563
Disease area: Airway diseases

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Citations should be made in the following way:
E. Walsted (Copenhagen, Denmark), J. Lin (London, United Kingdom), D. Elson (London, United Kingdom), J. Hull (London, United Kingdom). Objective quantification and analysis of laryngeal obstruction using deep learning algorithms. 3563

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