Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective

BACKGROUND: It is difficult to distinguish subtle differences shown in computed tomography (CT) images of coronavirus disease 2019 (COVID-19) and bacterial pneumonia patients, which often leads to an inaccurate diagnosis. It is desirable to design and evaluate interpretable feature extraction techni...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:J Korean Med Sci
Κύριοι συγγραφείς: Kang, Myeongkyun, Hong, Kyung Soo, Chikontwe, Philip, Luna, Miguel, Jang, Jong Geol, Park, Jongsoo, Shin, Kyeong-Cheol, Park, Sang Hyun, Ahn, June Hong
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: The Korean Academy of Medical Sciences 2021
Θέματα:
Original Article
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7850864/
https://ncbi.nlm.nih.gov/pubmed/33527788
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3346/jkms.2021.36.e46
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