Deep Learning–based Automatic Lung Segmentation on Multiresolution CT Scans from Healthy and Fibrotic Lungs in Mice

PURPOSE: To develop a model to accurately segment mouse lungs with varying levels of fibrosis and investigate its applicability to mouse images with different resolutions. MATERIALS AND METHODS: In this experimental retrospective study, a U-Net was trained to automatically segment lungs on mouse CT...

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Detalles Bibliográficos
Autores principales: Sforazzini, Francesco, Salome, Patrick, Moustafa, Mahmoud, Zhou, Cheng, Schwager, Christian, Rein, Katrin, Bougatf, Nina, Kudak, Andreas, Woodruff, Henry, Dubois, Ludwig, Lambin, Philippe, Debus, Jürgen, Abdollahi, Amir, Knoll, Maximilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980878/
https://www.ncbi.nlm.nih.gov/pubmed/35391764
http://dx.doi.org/10.1148/ryai.210095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980878/
https://www.ncbi.nlm.nih.gov/pubmed/35391764
http://dx.doi.org/10.1148/ryai.210095

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