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Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning

PurposeTo develop handcrafted radiomics (HCR) and deep learning (DL) based automated diagnostic tools that can differentiate between idiopathic pulmonary fibrosis (IPF) and non-IPF interstitial lung diseases (ILDs) in patients using high-resolution computed tomography (HRCT) scans.Material and Metho...

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Principais autores: Turkey Refaee, Zohaib Salahuddin, Anne-Noelle Frix, Chenggong Yan, Guangyao Wu, Henry C. Woodruff, Hester Gietema, Paul Meunier, Renaud Louis, Julien Guiot, Philippe Lambin
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2022-06-01
Serier:Frontiers in Medicine
Fag:
artificial intelligence (AI)
radiomics
computed tomography
interpretability
idiopathic pulmonary fibrosis
interstitial lung disease
Online adgang:https://www.frontiersin.org/articles/10.3389/fmed.2022.915243/full
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