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The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease
To evaluate the effect of the deep learning model reconstruction (DLM) method in terms of image quality and diagnostic agreement in low-dose computed tomography (LDCT) for interstitial lung disease (ILD), 193 patients who underwent LDCT for suspected ILD were retrospectively reviewed. Datasets were...
Autores principales: | Kim, Chu hyun, Chung, Myung Jin, Cha, Yoon Ki, Oh, Seok, Kim, Kwang gi, Yoo, Hongseok |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529569/ https://www.ncbi.nlm.nih.gov/pubmed/37756357 http://dx.doi.org/10.1371/journal.pone.0291745 |
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