Role of quantitative imaging and deep learning in interstitial lung diseases-Reference-Cited by-同舟云学术

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Role of quantitative imaging and deep learning in interstitial lung diseases

Published:2021-06 Issue:2 Volume:8 Page:
ISSN:2723-9284
Container-title:Journal of Radiological Review
language:
Short-container-title:G Ital Radiol Med

Author:

FANNI Salvatore C.,D’AMORE Caterina A.,MILAZZO Alessio,DE LIPERI Annalisa,CALANDRIELLO Lucio,CICCHETTI Giuseppe,BARATELLA Elisa,VALENTINI Adele,LARICI Anna Rita,ROMEI Chiara

Publisher

Edizioni Minerva Medica

Link

https://www.minervamedica.it/pdf.php?cod=R24Y2021N02A0152

Reference49 articles.

1. Fibrosing interstitial lung diseases: knowns and unknowns

2. An Official American Thoracic Society/European Respiratory Society Statement: Update of the International Multidisciplinary Classification of the Idiopathic Interstitial Pneumonias

3. High-resolution CT scoring system-based grading scale predicts the clinical outcomes in patients with idiopathic pulmonary fibrosis

4. Radiologic Findings Are Strongly Associated With a Pathologic Diagnosis of Usual Interstitial Pneumonia

5. High-Resolution CT of Interstitial Lung Disease: A Continuous Evolution

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3. Special issue of the Journal of Radiological Review on HRCT of the chest in ILDs;Journal of Radiological Review;2021-06

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