A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models

A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models

Abstract Idiopathic pulmonary fibrosis, the archetype of pulmonary fibrosis (PF), is a chronic lung disease of a poor prognosis, characterized by progressively worsening of lung function. Although histology is still the gold standard for PF assessment in preclinical practice, histological data typic...

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Bibliographic Details
Main Authors: Elena Vincenzi, Alice Fantazzini, Curzio Basso, Annalisa Barla, Francesca Odone, Ludovica Leo, Laura Mecozzi, Martina Mambrini, Erica Ferrini, Nicola Sverzellati, Franco Fabio Stellari
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Respiratory Research
Subjects:
Drug discovery
Micro-computed tomography
Deep learning
Segmentation
Preclinical
Online Access:https://doi.org/10.1186/s12931-022-02236-x

Internet

https://doi.org/10.1186/s12931-022-02236-x

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