지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Testing TB in chest X-ray images is a typical method to diagnose presence and magnitude of PTB lesion.
However, the method has limitation due to inter-reader variability. Therefore, it is essential to overcome this drawback with automatic interpretation. In this study, we propose a novel method for detection of PTB using SegNet, which is a deep learning architecture for semantic pixel wise image labelling. SegNet is composed of a stack of encoders followed by a corresponding decoder stack which feeds into a soft-max classification layer. We modified parameters of SegNet to change the number of classes from 12 to 2 (TB or none-TB) and applied the architecture to automatically interpret chest radiographs. 552 chest X-ray images, provided by The Korean Institute of Tuberculosis, used for training and test and we constructed a receiver operating characteristic (ROC) curve. As a consequence, the area under the curve (AUC) was 90.4% (95% CI:[85.1, 95.7]) with a classification accuracy of 84.3%. A sensitivity was 85.7% and specificity was 82.8% on 431 training images (TB 172, none-TB 259) and 121 test images (TB 63, none-TB 58). This results show that detecting PTB using SegNet is comparable to other PTB detection methods.
목차
등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
A. Kendall / 2015 / Bayesian segnet: Model uncertainty in deep convolutional encoderdecoder architectures for scene understanding / arXiv preprint arXiv:1511.02680
A. Krizhevsky / 2012 / Imagenet classification with deep convolutional neural networks / Advances in neural information processing systems : 1097 ~ 1105
B.V. Ginneken / 2002 / Automatic detection of abnormalities in chest radiographs using local texture analysis / IEEE transactions on medical imaging 21 (2) : 139 ~ 149
C. Cernazanu-Glavan / 2013 / Segmentation of bone structure in X-ray images using convolutional neural network / Advances in Electrical and Computer Engineering 13 (1) : 87 ~
D. Ciresan / 2012 / Deep neural networks segment neuronal membranes in electron microscopy images / Advances in neural information processing systems : 2843 ~ 2851
A. Krizhevsky / 2012 / Imagenet classification with deep convolutional neural networks / Advances in neural information processing systems : 1097 ~ 1105
B.V. Ginneken / 2002 / Automatic detection of abnormalities in chest radiographs using local texture analysis / IEEE transactions on medical imaging 21 (2) : 139 ~ 149
C. Cernazanu-Glavan / 2013 / Segmentation of bone structure in X-ray images using convolutional neural network / Advances in Electrical and Computer Engineering 13 (1) : 87 ~
D. Ciresan / 2012 / Deep neural networks segment neuronal membranes in electron microscopy images / Advances in neural information processing systems : 2843 ~ 2851
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Duration of Pulmonary Tuberculosis Infectiousness under Adequate Therapy, as Assessed Using Induced Sputum Samples
Tuberculosis and Respiratory Diseases
2017 .01
-
Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms
Tuberculosis and Respiratory Diseases
2015 .01
-
객담 배출이 어려운 소아청소년 결핵 의심 환자에서 굴곡성 기관지 내시경검사의 유용성
Allergy Asthma & Respiratory Diseases
2017 .01
-
폐결핵의 진단
대한의사협회지
2019 .01
-
Use of progesterone supplement therapy for prevention of preterm birth: review of literatures
Obstetrics & Gynecology Science
2017 .01
-
Changes in Diagnostic Methods for Pulmonary Tuberculosis between 2005 and 2013
Tuberculosis and Respiratory Diseases
2015 .01
-
A Pilot Project of Systematic Tuberculosis Screening in the Elderly in a South Korean Province
Tuberculosis and Respiratory Diseases
2019 .01
-
Risk Factors for Post-Thyroidectomy Bleeding: an Analysis of 19,657 Cases from a Single Institution
The Journal of Endocrine Surgery
2020 .01
-
The Correlation Between Alcohol Use Disorder and Tuberculosis
대한의생명과학회지
2024 .12
-
의료기관에서의 결핵예방과 결핵환자 격리
대한의사협회지
2019 .01
-
Knowledge, Attitudes, and Practices Regarding Tuberculosis in Timor-Leste: Results From the Demographic and Health Survey 2016
예방의학회지
2019 .01
-
임부의 치주염이 조산 및 저체중아 출산에 미치는 영향
한국치위생학회지
2016 .01
-
Diagnosis and treatment of multidrug-resistant tuberculosis
Journal of Yeungnam Medical Science
2020 .01
-
Tuberculosis Infection and Latent Tuberculosis
Tuberculosis and Respiratory Diseases
2016 .01
-
Impact of COVID-19 Pandemic on Tuberculosis Preventive Services and Their Post-Pandemic Recovery Strategies: A Rapid Review of Literature
Journal of Korean Medical Science
2023 .02
-
폐결핵 치료의 최신지견
대한의사협회지
2019 .01
-
환자와 의료기관 종사자에서 QuantiFERON-TB Gold-Plus 양성 패턴과 추적 결과 분석
Laboratory Medicine Online
2023 .04
-
Management and 2 Years Follow-Up of Newborns in the Neonatal Intensive Care Unit Exposed to Congenital Tuberculosis
Perinatology
2022 .09
-
Comparative Evaluation of the Loop-Mediated Isothermal Amplification Assay for Detecting Pulmonary Tuberculosis
Annals of Laboratory Medicine
2018 .01
-
The Relationships among Various Risk Factors to Predict Early Preterm Birth Compared to Late Preterm Birth
Perinatology
2024 .03
이 논문의 저자 정보
최근 본 자료
댓글(0)
0