首页|Researcher from Western Norway University of Applied Sciences Publishes New Stud ies and Findings in the Area of Machine Learning (Diagnostics of Exercise-Induce d Laryngeal Obstruction Using Machine Learning: A Narrative Review)
Researcher from Western Norway University of Applied Sciences Publishes New Stud ies and Findings in the Area of Machine Learning (Diagnostics of Exercise-Induce d Laryngeal Obstruction Using Machine Learning: A Narrative Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting originating from Bergen, Norway, by NewsRx correspondents, research stated, "This paper explores machine learning methods for exercise-induced laryngeal obstruction (EILO) diagnostics."Our news journalists obtained a quote from the research from Western Norway Univ ersity of Applied Sciences: "Traditional diagnostic approaches like CLE scoring face subjectivity, limiting precise objective assessments. Machine learning is i ntroduced as a theoretical solution to potentially overcome these limitations an d improve diagnostic precision. A narrative review was conducted to explore the integration of machine learning techniques in the diagnostics of EILO. Three mac hine learning methods for the segmentation of laryngeal images were discovered: fully convolutional network, Mask R-CNN, and 3D VOSNet. Our findings reveal that the integration of machine learning with EILO diagnostics remains a largely unt apped research domain, providing significant room for further exploration."
Western Norway University of Applied Sci encesBergenNorwayEuropeCyborgsEmerging TechnologiesMachine Learning
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