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cc by (c) Gil, Debora et al., 2019
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/168037

Segmentation of distal airways using structural analysis

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Segmentation of airways in Computed Tomography (CT) scans is a must for accurate support of diagnosis and intervention of many pulmonary disorders. In particular, lung cancer diagnosis would benefit from segmentations reaching most distal airways. We present a method that combines descriptors of bronchi local appearance and graph global structural analysis to fine-tune thresholds on the descriptors adapted for each bronchial level. We have compared our method to the top performers of the EXACT09 challenge and to a commercial software for biopsy planning evaluated in an own-collected data-base of high resolution CT scans acquired under different breathing conditions. Results on EXACT09 data show that our method provides a high leakage reduction with minimum loss in airway detection. Results on our data-base show the reliability across varying breathing conditions and a competitive performance for biopsy planning compared to a commercial solution.

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GIL, Debora, SANCHEZ, Carles, BORRAS, Agnes, DIEZ-FERRER, María, ROSELL, Antoni. Segmentation of distal airways using structural analysis. _Plos One_. 2019-12-19. Vol. 14, núm. Issue 12. [consulta: 21 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/168037]

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