|
KMID : 1137820230440030167
|
|
의공학회지
2023 Volume.44 No. 3 p.167 ~ p.175
|
|
|
Study of Posture Evaluation Method in Chest PA Examination based on Artificial Intelligence
|
|
Hwang Ho-Seong
Choi Yong-Seok
Lee Dae-Won
Shanyu Ye
Kim Ho-Chul
|
|
|
Abstract
|
|
|
|
Chest PA is the basic examination of radiographic imaging. Moreover, Chest PA's demands are constantly increasing because of the Increase in respiratory diseases. However, it is not meeting the demand due to problems such as a shortage of radiological technologist, sexual shame caused by patient contact, and the spread of infectious diseases. There have been many cases of using artificial intelligence to solve this problem. Therefore, the purpose of this research is to build an artificial intelligence dataset of Chest PA and to find a posture evaluation method. To construct the posture dataset, the posture image is acquired during actual and simulated examination and classified correct and incorrect posture of the patient. And to evaluate the artificial intelligence posture method, a posture esti- mation algorithm is used to preprocess the dataset and an artificial intelligence classification algorithm is applied. As a result, Chest PA posture dataset is validated with in over 95% accuracy in all artificial intelligence classification and the accuracy is improved through the Top-Down posture estimation algorithm AlphaPose and the classification InceptionV3 algorithm. Based on this, it will be possible to build a non-face-to-face automatic Chest PA examination system using artificial intelligence.
|
|
|
KEYWORD
|
|
|
Chest PA, Dataset, Artificial intelligence, Pose estimation, Classification
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|
|