A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: Application to COVID-19 patients-Reference-Cited by-同舟云学术

A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: Application to COVID-19 patients

Published:2021-02 Issue: Volume:82 Page:28-39
ISSN:1120-1797
Container-title:Physica Medica
language:en
Short-container-title:Physica Medica

Author:

Berta L.,De Mattia C.,Rizzetto F.,Carrazza S.^ORCID,Colombo P.E.^ORCID,Fumagalli R.,Langer T.,Lizio D.,Vanzulli A.^ORCID,Torresin A.^ORCID

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Radiology, Nuclear Medicine and imaging,General Medicine,Biophysics

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1. How anatomical impairments found on CT affect perfusion percentage assessed by SPECT/CT scan?;Annals of Nuclear Medicine;2024-08-24

2. A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia;European Radiology Experimental;2023-04-10

3. Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches;European Radiology Experimental;2023-01-24

4. Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis;Physica Medica;2021-07