Improving clinical disease subtyping and future events prediction through a chest CT‐based deep learning approach

PURPOSE: To develop and evaluate a deep learning (DL) approach to extract rich information from high‐resolution computed tomography (HRCT) of patients with chronic obstructive pulmonary disease (COPD). METHODS: We develop a DL‐based model to learn a compact representation of a subject, which is pred...

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Detalles Bibliográficos
Autores principales: Singla, Sumedha, Gong, Mingming, Riley, Craig, Sciurba, Frank, Batmanghelich, Kayhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7965349/
https://www.ncbi.nlm.nih.gov/pubmed/33340116
http://dx.doi.org/10.1002/mp.14673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7965349/
https://www.ncbi.nlm.nih.gov/pubmed/33340116
http://dx.doi.org/10.1002/mp.14673

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