A deep convolutional neural network ensemble for composite identification of pulmonary nodules and incidental findings on routine PET/CT-Reference-Cited by-同舟云学术

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A deep convolutional neural network ensemble for composite identification of pulmonary nodules and incidental findings on routine PET/CT

Published:2023-05 Issue:5 Volume:78 Page:e368-e376
ISSN:0009-9260
Container-title:Clinical Radiology
language:en
Short-container-title:Clinical Radiology

Author:

Chamberlin J.H.,Smith C.,Schoepf U.J.,Nance S.,Elojeimy S.,O'Doherty J.,Baruah D.,Burt J.R.,Varga-Szemes A.,Kabakus I.M.

Funder

Siemens Medical Solutions USA

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference31 articles.

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2. Effectiveness of COVID-19 diagnosis and management tools: a review;Alsharif;Radiography (Lond),2021

3. SARS-CoV-2 diagnosis using medical imaging techniques and artificial intelligence: a review;Benameur;Clin Imaging,2021

4. Pulmonary hypertension in association with lung disease: quantitative CT and artificial intelligence to the rescue? State-of-the-art review;Dwivedi;Diagnostics (Basel),2021

5. Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and treatment;Fusco;J Pers Med,2021

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3. “Incidentalomas” in the Age of Artificial Intelligence;Journal of General Internal Medicine;2023-08-01

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