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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Veröffentlicht in:Med Phys
Hauptverfasser: Singla, Sumedha, Gong, Mingming, Riley, Craig, Sciurba, Frank, Batmanghelich, Kayhan
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2021
Schlagworte:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7965349/
https://ncbi.nlm.nih.gov/pubmed/33340116
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14673
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