A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis

A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis

Abstract Background Drug discovery strongly relies on the thorough evaluation of preclinical experimental studies. In the context of pulmonary fibrosis, micro-computed tomography (µCT) and histology are well-established and complementary tools for assessing, in animal models, disease progression and...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Elena Vincenzi, Martina Buccardi, Erica Ferrini, Alice Fantazzini, Eugenia Polverini, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Curzio Basso, Francesca Pennati, Franco Fabio Stellari
Format: Artikel
Sprache:English
Veröffentlicht: BMC 2024-11-01
Schriftenreihe:Journal of Translational Medicine
Schlagworte:
Bleomycin model
Lung fibrosis
Deep learning
Drug discovery
Micro-computed tomography
Histology
Online Zugang:https://doi.org/10.1186/s12967-024-05819-y

Online

https://doi.org/10.1186/s12967-024-05819-y

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