Cargando…

The Performance of a Deep Learning-Based Automatic Measurement Model for Measuring the Cardiothoracic Ratio on Chest Radiographs

Objective: Prior studies on models based on deep learning (DL) and measuring the cardiothoracic ratio (CTR) on chest radiographs have lacked rigorous agreement analyses with radiologists or reader tests. We validated the performance of a commercially available DL-based CTR measurement model with var...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Donguk, Lee, Jong Hyuk, Jang, Myoung-jin, Park, Jongsoo, Hong, Wonju, Lee, Chan Su, Yang, Si Yeong, Park, Chang Min
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525628/ https://www.ncbi.nlm.nih.gov/pubmed/37760179 http://dx.doi.org/10.3390/bioengineering10091077

Ejemplares similares

Deep learning-based cardiothoracic ratio measurement on chest radiograph: accuracy improvement without self-annotation
por: Yoshida, Kotaro, et al.
Publicado: (2023)

CardioNet: Automatic Semantic Segmentation to Calculate the Cardiothoracic Ratio for Cardiomegaly and Other Chest Diseases
por: Jafar, Abbas, et al.
Publicado: (2022)

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
por: Hwang, Eui Jin, et al.
Publicado: (2019)

Calculation of the Cardiothoracic Ratio from Portable Anteroposterior Chest Radiography
por: Chon, Sung Bin, et al.
Publicado: (2011)

Limitations of cardiothoracic ratio derived from chest radiographs to predict real heart size: comparison with magnetic resonance imaging
por: Simkus, Paulius, et al.
Publicado: (2021)

Automatic Detection of Mandibular Fractures in Panoramic Radiographs Using Deep Learning
por: Son, Dong-Min, et al.
Publicado: (2021)

Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
por: Nam, Ju Gang, et al.
Publicado: (2021)

A study on computed tomography cardiothoracic ratio in predicting left ventricular systolic dysfunction
por: Chae, Minki, et al.
Publicado: (2023)

Automatic detection of COVID-19 from chest radiographs using deep learning
por: Pandit, M.K., et al.
Publicado: (2021)

Effects of Implementing Artificial Intelligence-Based Computer-Aided Detection for Chest Radiographs in Daily Practice on the Rate of Referral to Chest Computed Tomography in Pulmonology Outpatient Clinic
por: Hong, Wonju, et al.
Publicado: (2023)

Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies
por: Saiviroonporn, Pairash, et al.
Publicado: (2021)

A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence
por: Saiviroonporn, Pairash, et al.
Publicado: (2022)

Usefulness of Chest Radiographs for Scoliosis Screening: A Comparison with Thoraco-Lumbar Standing Radiographs
por: Oh, Chang Hyun, et al.
Publicado: (2012)

Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs
por: Kim, Jaeil, et al.
Publicado: (2013)

Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
por: Jang, Se Bum, et al.
Publicado: (2020)

Changes in Cross-Sectional Area and Transverse Diameter of the Heart on Inspiratory and Expiratory Chest CT: Correlation with Changes in Lung Size and Influence on Cardiothoracic Ratio Measurement
por: Tomita, Hayato, et al.
Publicado: (2015)

Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs
por: Huh, Jung Eun, et al.
Publicado: (2023)

Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
por: Hwang, Eui Jin, et al.
Publicado: (2019)

CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks
por: Wang, Hongyu, et al.
Publicado: (2020)

Heritability of Cardiothoracic Ratio and Aortic Arch Calcification in Twins
por: Jokkel, Zsofia, et al.
Publicado: (2021)

Constrained Multiple Planar Reconstruction for Automatic Camera Calibration of Intelligent Vehicles
por: Lee, Sang Jun, et al.
Publicado: (2021)

Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective
por: Kang, Myeongkyun, et al.
Publicado: (2021)

Classification of cardioembolic stroke based on a deep neural network using chest radiographs
por: Jeong, Han-Gil, et al.
Publicado: (2021)

Radiological Cardiothoracic Ratio in Evidence-Based Medicine
por: Truszkiewicz, Krystian, et al.
Publicado: (2021)

Unsupervised Deep Anomaly Detection in Chest Radiographs
por: Nakao, Takahiro, et al.
Publicado: (2021)

Application of Deep Learning Techniques for Detection of Pneumothorax in Chest Radiographs
por: Deng, Lawrence Y., et al.
Publicado: (2023)

Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs
por: Yoo, Seung-Jin, et al.
Publicado: (2023)

Automatic recognition of teeth and periodontal bone loss measurement in digital radiographs using deep-learning artificial intelligence
por: Chen, Chin-Chang, et al.
Publicado: (2023)

COVID-19 Diagnosis on Chest Radiographs with Enhanced Deep Neural Networks
por: Lee, Chin Poo, et al.
Publicado: (2022)

Ensemble Technique Coupled with Deep Transfer Learning Framework for Automatic Detection of Tuberculosis from Chest X-ray Radiographs
por: Kotei, Evans, et al.
Publicado: (2022)

Radiographic determination of cardiomegaly using cardiothoracic ratio and transverse cardiac diameter: can one size fit all? Part one
por: Brakohiapa, Edmund Kwadwo Kwakye, et al.
Publicado: (2017)

Validation of an Automated Cardiothoracic Ratio Calculation for Hemodialysis Patients
por: Chou, Hsin-Hsu, et al.
Publicado: (2023)

Explainable emphysema detection on chest radiographs with deep learning
por: Çallı, Erdi, et al.
Publicado: (2022)

The Effect of Position on Radiographic Angle Measurements of the Lower Extremities
por: Chung, Jeehyeok, et al.
Publicado: (2022)

Follow-up of isolated congenital complete atrioventricular block with longitudinal measurements of serum NT-proBNP and cardiothoracic ratio
por: Nakamura, Toshihiko, et al.
Publicado: (2020)

Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
por: Lee, Hyun Woo, et al.
Publicado: (2023)

A Low-Cost, High-Precision Vehicle Navigation System for Deep Urban Multipath Environment Using TDCP Measurements †
por: Kim, Jungbeom, et al.
Publicado: (2020)

Imaging the Chest: The Chest Radiograph
por: Broder, Joshua
Publicado: (2011)

Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
por: Choi, Hyewon, et al.
Publicado: (2020)

The Chest Radiograph
por: Kelly, Barry
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_c4sfglbmuvijniq42fepbgggtg