A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy

A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy

Abstract Micro-computed tomography (µCT)-based imaging plays a key role in monitoring disease progression and response to candidate drugs in various animal models of human disease, but manual image processing is still highly time-consuming and prone to operator bias. Focusing on an established mouse...

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Bibliographic Details
Main Authors: Martina Buccardi, Erica Ferrini, Francesca Pennati, Elena Vincenzi, Roberta Eufrasia Ledda, Andrea Grandi, Davide Buseghin, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Franco Fabio Stellari
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Respiratory Research
Subjects:
Bleomycin model
Lung fibrosis
Deep learning
Drug discovery
Micro-computed tomography
Online Access:https://doi.org/10.1186/s12931-023-02432-3

Internet

https://doi.org/10.1186/s12931-023-02432-3

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