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Automatic assessment of Pectus Excavatum severity from CT images using deep lea...
Silva, Bruno André Pires; Pessanha, Inês; Correia-Pinto, Jorge; Fonseca, Jaime C.; Queirós, Sandro Filipe MonteiroPectus excavatum (PE) is the most common abnormality of the thoracic cage, whose severity is evaluated by extracting three indices (Haller, correction and asymmetry) from computed tomography (CT) images. To date, this analysis is performed manually, which is tedious and prone to variability. In this paper, a fully automatic framework for PE severity quantification from CT images is proposed, comprising three st...
Data: 2022
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Origem: RepositóriUM - Universidade do Minho