Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies

Background: The aim of this work is to identify an automatic, accurate, and fast deep learning segmentation approach, applied to the parenchyma, using a very small dataset of high-resolution computed tomography images of patients with idiopathic pulmonary fibrosis. In this way, we aim to enhance the...

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Detalles Bibliográficos
Autores principales: Comelli, Albert, Coronnello, Claudia, Dahiya, Navdeep, Benfante, Viviana, Palmucci, Stefano, Basile, Antonio, Vancheri, Carlo, Russo, Giorgio, Yezzi, Anthony, Stefano, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321165/
https://www.ncbi.nlm.nih.gov/pubmed/34460569
http://dx.doi.org/10.3390/jimaging6110125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321165/
https://www.ncbi.nlm.nih.gov/pubmed/34460569
http://dx.doi.org/10.3390/jimaging6110125

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