@article{ART002789898},
author={Sang-Hyun Jo and Dae-Hoon Kim and Kim, yoon and Song Ok Kwon and Kim, WooJin and Sang-Ah Lee},
title={Structuring of Pulmonary Function Test Paper Using Deep Learning},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={12},
pages={61-67},
doi={10.9708/jksci.2021.26.12.061}
TY - JOUR
AU - Sang-Hyun Jo
AU - Dae-Hoon Kim
AU - Kim, yoon
AU - Song Ok Kwon
AU - Kim, WooJin
AU - Sang-Ah Lee
TI - Structuring of Pulmonary Function Test Paper Using Deep Learning
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 12
PB - The Korean Society Of Computer And Information
SP - 61
EP - 67
SN - 1598-849X
AB - In this paper, we propose a method of extracting and recognizing related information for research from images of the unstructured pulmonary function test papers using character detection and recognition techniques.
Also, we develop a post-processing method to reduce the character recognition error rate. The proposed structuring method uses a character detection model for the pulmonary function test paper images to detect all characters in the test paper and passes the detected character image through the character recognition model to obtain a string. The obtained string is reviewed for validity using string matching and structuring is completed.
We confirm that our proposed structuring system is a more efficient and stable method than the structuring method through manual work of professionals because our system’s error rate is within about 1% and the processing speed per pulmonary function test paper is within 2 seconds.
KW - Text Detection;Text Recognition;Image Classification;Data Structuring;Deep Learning
DO - 10.9708/jksci.2021.26.12.061
ER -
Sang-Hyun Jo, Dae-Hoon Kim, Kim, yoon, Song Ok Kwon, Kim, WooJin and Sang-Ah Lee. (2021). Structuring of Pulmonary Function Test Paper Using Deep Learning. Journal of The Korea Society of Computer and Information, 26(12), 61-67.
Sang-Hyun Jo, Dae-Hoon Kim, Kim, yoon, Song Ok Kwon, Kim, WooJin and Sang-Ah Lee. 2021, "Structuring of Pulmonary Function Test Paper Using Deep Learning", Journal of The Korea Society of Computer and Information, vol.26, no.12 pp.61-67. Available from: doi:10.9708/jksci.2021.26.12.061
Sang-Hyun Jo, Dae-Hoon Kim, Kim, yoon, Song Ok Kwon, Kim, WooJin, Sang-Ah Lee "Structuring of Pulmonary Function Test Paper Using Deep Learning" Journal of The Korea Society of Computer and Information 26.12 pp.61-67 (2021) : 61.
Sang-Hyun Jo, Dae-Hoon Kim, Kim, yoon, Song Ok Kwon, Kim, WooJin, Sang-Ah Lee. Structuring of Pulmonary Function Test Paper Using Deep Learning. 2021; 26(12), 61-67. Available from: doi:10.9708/jksci.2021.26.12.061
Sang-Hyun Jo, Dae-Hoon Kim, Kim, yoon, Song Ok Kwon, Kim, WooJin and Sang-Ah Lee. "Structuring of Pulmonary Function Test Paper Using Deep Learning" Journal of The Korea Society of Computer and Information 26, no.12 (2021) : 61-67.doi: 10.9708/jksci.2021.26.12.061
Sang-Hyun Jo; Dae-Hoon Kim; Kim, yoon; Song Ok Kwon; Kim, WooJin; Sang-Ah Lee. Structuring of Pulmonary Function Test Paper Using Deep Learning. Journal of The Korea Society of Computer and Information, 26(12), 61-67. doi: 10.9708/jksci.2021.26.12.061
Sang-Hyun Jo; Dae-Hoon Kim; Kim, yoon; Song Ok Kwon; Kim, WooJin; Sang-Ah Lee. Structuring of Pulmonary Function Test Paper Using Deep Learning. Journal of The Korea Society of Computer and Information. 2021; 26(12) 61-67. doi: 10.9708/jksci.2021.26.12.061
Sang-Hyun Jo, Dae-Hoon Kim, Kim, yoon, Song Ok Kwon, Kim, WooJin, Sang-Ah Lee. Structuring of Pulmonary Function Test Paper Using Deep Learning. 2021; 26(12), 61-67. Available from: doi:10.9708/jksci.2021.26.12.061
Sang-Hyun Jo, Dae-Hoon Kim, Kim, yoon, Song Ok Kwon, Kim, WooJin and Sang-Ah Lee. "Structuring of Pulmonary Function Test Paper Using Deep Learning" Journal of The Korea Society of Computer and Information 26, no.12 (2021) : 61-67.doi: 10.9708/jksci.2021.26.12.061