Cargando…

COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader

BACKGROUND: Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose COVID-19 cases due to its easy accessibility, lower cost and rapid imaging time. OBJECTIVE: This study aims to improve efficacy of screening COVID-19 infected patients using chest X-ray images with...

Descripción completa

Detalles Bibliográficos
Autores principales:	Polat, Çağín, Karaman, Onur, Karaman, Ceren, Korkmaz, Güney, Balcı, Mehmet Can, Kelek, Sevim Ercan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	IOS Press 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990426/ https://www.ncbi.nlm.nih.gov/pubmed/33459685 http://dx.doi.org/10.3233/XST-200757

Ejemplares similares

Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images
por: Alhudhaif, Adi, et al.
Publicado: (2021)

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models
por: Horry, Michael J., et al.
Publicado: (2023)

MWCNT/Ruthenium hydroxide aerogel supercapacitor production and investigation of electrochemical performances
por: Korkmaz, Satiye, et al.
Publicado: (2022)

Sensitive sandwich-type electrochemical SARS-CoV‑2 nucleocapsid protein immunosensor
por: Karaman, Ceren, et al.
Publicado: (2021)

Cognitive debiasing 1: origins of bias and theory of debiasing
por: Croskerry, Pat, et al.
Publicado: (2013)

The Debiased Spatial Whittle likelihood
por: Guillaumin, Arthur P., et al.
Publicado: (2022)

Cognitive debiasing 2: impediments to and strategies for change
por: Croskerry, Pat, et al.
Publicado: (2013)

Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19
por: Karaman, Onur, et al.
Publicado: (2021)

Transfer learning with chest X-rays for ER patient classification
por: Stubblefield, Jonathan, et al.
Publicado: (2020)

Systematic auditing is essential to debiasing machine learning in biology
por: Eid, Fatma-Elzahraa, et al.
Publicado: (2021)

Shape–Texture Debiased Training for Robust Template Matching †
por: Gao, Bo, et al.
Publicado: (2022)

Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images
por: Huang, Guan-Hua, et al.
Publicado: (2022)

COVID19 Diagnosis Using Chest X-rays and Transfer Learning
por: Stubblefield, Jonathan, et al.
Publicado: (2022)

Atypical Chest X-Ray Calcification in an Idiopathic Constrictive Pericarditis Case
por: Coşkun, Uğur, et al.
Publicado: (2013)

A sampling approach to Debiasing the offline evaluation of recommender systems
por: Carraro, Diego, et al.
Publicado: (2021)

INTERPRETING CHEST X-RAYS
por: Worthington, Mark
Publicado: (2011)

Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
por: Avola, Danilo, et al.
Publicado: (2022)

Deep transfer learning to quantify pleural effusion severity in chest X-rays
por: Huang, Tao, et al.
Publicado: (2022)

Hybrid Classical–Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays
por: Decoodt, Pierre, et al.
Publicado: (2023)

COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks
por: Hariri, Muhab, et al.
Publicado: (2023)

Debiasing or regularisation? Two interpretations of the concept of ‘true preference’ in behavioural economics
por: Sugden, Robert
Publicado: (2022)

Expanding Nature’s storytelling: extended reality and debiasing strategies for an eco-agency
por: Reis, Cristina M., et al.
Publicado: (2023)

Detection of COVID-19 from chest x-ray images using transfer learning
por: Manokaran, Jenita, et al.
Publicado: (2021)

Multi-Label Classification of Chest X-ray Abnormalities Using Transfer Learning Techniques
por: Kufel, Jakub, et al.
Publicado: (2023)

Colonic metastasis of renal cell carcinoma following curative nephrectomy: A case report and review of the literature
por: Subaşı, Özkan, et al.
Publicado: (2019)

Principles of chest X-ray diagnosis
por: Simon, George
Publicado: (1971)

A “Galactic” Chest X-ray
por: Carbonelli, Cristiano, et al.
Publicado: (2021)

Is Pneumothorax Size on Chest X-Ray a Predictor of Neonatal Mortality?
por: Ozer, Esra Arun, et al.
Publicado: (2013)

Is it time for studying real-life debiasing? Evaluation of the effectiveness of an analogical intervention technique
por: Aczel, Balazs, et al.
Publicado: (2015)

Quota-based debiasing can decrease representation of the most under-represented groups
por: Smirnov, I., et al.
Publicado: (2021)

Compressed models for co-reference resolution: enhancing efficiency with debiased word embeddings
por: Ioannides, Georgios, et al.
Publicado: (2023)

Automated image classification of chest X-rays of COVID-19 using deep transfer learning
por: Dilshad, Sara, et al.
Publicado: (2021)

Transfer-Learning-Based Approach for the Diagnosis of Lung Diseases from Chest X-ray Images
por: Fan, Rong, et al.
Publicado: (2022)

External validation based on transfer learning for diagnosing atelectasis using portable chest X-rays
por: Huang, Xiaxuan, et al.
Publicado: (2022)

Amniotic membrane covering for facial nerve repair☆
por: Karaman, Murat, et al.
Publicado: (2013)

Effects of degree of translation or rotation of acetabular fragment of periacetabular osteotomy procedure on pelvic X-ray parameters
por: Hapa, Onur, et al.
Publicado: (2022)

Abnormal Chest X-ray Postmyocardial Infarction
por: Abuosa, Ahmed M., et al.
Publicado: (2014)

Chest ultrasound compared to chest X‐ray for pediatric pulmonary tuberculosis
por: Heuvelings, Charlotte C., et al.
Publicado: (2019)

Can Chest Ultrasound Replace Chest X-ray in Thoracic Surgery?
por: Grapatsas, Konstantinos, et al.
Publicado: (2022)

Concordance of chest x-ray with chest CT by body mass index
por: Heston, Thomas F., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_1388ohvap93lo7telsjj9fqlc2