Open AccessQuantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective
Author(s) -
Myeongkyun Kang,
Kyung Soo Hong,
Philip Chikontwe,
Miguel Luna,
Jong Geol Jang,
Jongsoo Park,
Kyeong-Cheol Shin,
Sang Hyun Park,
JaeJun Ahn
Publication year - 2021
Publication title -
journal of korean medical science/journal of korean medical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 66
eISSN - 1598-6357
pISSN - 1011-8934
DOI - 10.3346/jkms.2021.36.e46
Subject(s) - pneumonia , medicine , covid-19 , lesion , viral pneumonia , radiography , radiology , cluster (spacecraft) , artificial intelligence , classifier (uml) , histogram , lung , bacterial pneumonia , pattern recognition (psychology) , pathology , computer science , disease , infectious disease (medical specialty) , image (mathematics) , programming language