Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease

Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease

Abstract Ground-glass opacities (GGOs) are a non-specific high-resolution computed tomography (HRCT) finding tipically observed in early Coronavirus disesase 19 (COVID-19) pneumonia. However, GGOs are also seen in other acute lung diseases, thus making challenging the differential diagnosis. To this...

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Autores principales: Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, Cristina Valdesi, Pierpaolo Croce, Domenico Mastrodicasa, Michela Villani, Stefano Trebeschi, Francesco Lorenzo Serafini, Consuelo Rosa, Giulio Cocco, Riccardo Luberti, Sabrina Conte, Lucia Mazzamurro, Manuela Mereu, Rosa Lucia Patea, Valentina Panara, Stefano Marinari, Jacopo Vecchiet, Massimo Caulo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/ca0ccf9204d9467b9413f9ffef0d7789
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https://doaj.org/article/ca0ccf9204d9467b9413f9ffef0d7789

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