Machine learning for lung image analysis: towards the automatic quantification of airway diseases

Research output: Types of ThesisDoctoral ThesisInternal

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Abstract

In this thesis, we developed automatic image processing methods to segment the bronchial tree from chest CT scans and subsequently extracted airway measurements. Moreover, we applied these automated measurements as quantitative biomarkers to analyze CT scans for various lung diseases.
Original languageEnglish
Awarding Institution
  • Erasmus University Rotterdam
Supervisors/Advisors
  • de Bruijne, Marleen, Supervisor
  • Tiddens, H.A.W.M., Supervisor
Award date26 Oct 2022
Place of PublicationRotterdam
Print ISBNs978-94-6458-507-0
Publication statusPublished - 26 Oct 2022

Bibliographical note

This research was funded by the Innovative Medicines Initiative (IMI) (n. 115721).

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