Crowdsourcing airway annotations in chest computed tomography images

Measuring airways in chest computed tomography (CT) scans is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine learning algorithms offer an alternative, but need large sets of annotated scans for good performance. We investigate wheth...

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Veröffentlicht in:	PloS one 2021-04, Vol.16 (4), p.e0249580-e0249580
Hauptverfasser:	Cheplygina, Veronika, Perez-Rovira, Adria, Kuo, Wieying, Tiddens, Harm A W M, de Bruijne, Marleen
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Airway (Medicine) Algorithms Annotations Biology and Life Sciences Biomedical engineering Bronchiectasis Chest Children Computed tomography Computer and Information Sciences Computer programs Crowdsourcing CT imaging Cystic fibrosis Diagnosis Drafting software Editing Ellipses Emphysema Funding Health aspects Health care facilities Hospitals Image acquisition Learning algorithms Localization Lungs Machine learning Medical electronics Medical imaging Medical research Medicine Medicine and Health Sciences Methodology Methods Nuclear medicine Pediatrics Physical Sciences Physiological aspects Pulmonology Radiology Research and Analysis Methods Respiratory tract Reviews Software Thickness ratio Visualization Wall thickness Workers
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