Cargando…

Deep learning and the evaluation of pulmonary fibrosis

Detalles Bibliográficos
Autor principal:	Levin, David L
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293056/ https://www.ncbi.nlm.nih.gov/pubmed/30232047 http://dx.doi.org/10.1016/S2213-2600(18)30371-0

Ejemplares similares

Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images
por: Christe, Andreas, et al.
Publicado: (2019)

FVC-NET: An Automated Diagnosis of Pulmonary Fibrosis Progression Prediction Using Honeycombing and Deep Learning
por: Yadav, Anju, et al.
Publicado: (2022)

Novel idiopathic pulmonary fibrosis susceptibility variants revealed by deep sequencing
por: Lorenzo-Salazar, Jose M., et al.
Publicado: (2019)

Prediction of Pulmonary Fibrosis Based on X-Rays by Deep Neural Network
por: Li, Da, et al.
Publicado: (2022)

Pulmonary Fibrosis
por: Zisman, David A., et al.
Publicado: (2005)

Deep learning enables automated scoring of liver fibrosis stages
por: Yu, Yang, et al.
Publicado: (2018)

Pulmonary vessel volume in idiopathic pulmonary fibrosis compared with healthy controls aged > 50 years
por: John, Joyce, et al.
Publicado: (2023)

Evaluating disease severity in idiopathic pulmonary fibrosis
por: Robbie, Hasti, et al.
Publicado: (2017)

An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers
por: Fanidis, Dionysios, et al.
Publicado: (2023)

Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning
por: Refaee, Turkey, et al.
Publicado: (2022)

Evaluation of computed tomography images under deep learning in the diagnosis of severe pulmonary infection
por: Ming, Mao, et al.
Publicado: (2023)

Evaluation of Copeptin during Pulmonary Exacerbation in Cystic Fibrosis
por: Wojsyk-Banaszak, I., et al.
Publicado: (2019)

Evaluation of Proteasome Inhibitors in the Treatment of Idiopathic Pulmonary Fibrosis
por: Chen, I-Chen, et al.
Publicado: (2022)

Evaluation of Uncertainty Quantification in Deep Learning
por: Ståhl, Niclas, et al.
Publicado: (2020)

Hepatitis C and pulmonary fibrosis: Hepatitis C and pulmonary fibrosis
por: Aliannejad, Rasoul, et al.
Publicado: (2011)

Potential biomarkers for diagnosis and disease evaluation of idiopathic pulmonary fibrosis
por: Wang, Qing, et al.
Publicado: (2023)

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
por: Marzahl, Christian, et al.
Publicado: (2020)

Evaluating the progress of deep learning for visual relational concepts
por: Stabinger, Sebastian, et al.
Publicado: (2021)

Smoking-associated fibrosis and pulmonary asbestosis
por: Bledsoe, Jacob R, et al.
Publicado: (2014)

Pulmonary Fibrosis in Children
por: Nathan, Nadia, et al.
Publicado: (2019)

Recent lessons learned in the management of acute exacerbation of idiopathic pulmonary fibrosis
por: Kondoh, Yasuhiro, et al.
Publicado: (2017)

Idiopathic Pulmonary Fibrosis
por: Lynch, Joseph P., et al.
Publicado: (2011)

Identifying potential biomarkers of idiopathic pulmonary fibrosis through machine learning analysis
por: Wu, Zenan, et al.
Publicado: (2023)

Evaluating the informativeness of deep learning annotations for human complex diseases
por: Dey, Kushal K., et al.
Publicado: (2020)

Lung Transplantation for Idiopathic Pulmonary Fibrosis
por: Lamas, Daniela J., et al.
Publicado: (2013)

Adenosine and hyaluronan promote lung fibrosis and pulmonary hypertension in combined pulmonary fibrosis and emphysema
por: Collum, Scott D., et al.
Publicado: (2019)

Comment on Idiopathic Pulmonary Fibrosis (an Update) and Progressive Pulmonary Fibrosis in Adults
por: Scholand, Mary Beth, et al.
Publicado: (2022)

Deep learning-based user experience evaluation in distance learning
por: Sadigov, Rahim, et al.
Publicado: (2023)

Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning
por: Ma, Tingting, et al.
Publicado: (2021)

Quantitative Evaluation of Fibrosis in IPF Patients: Meaning of Diffuse Pulmonary Ossification
por: Palermo, Monica, et al.
Publicado: (2021)

Evaluation of Regional Lung Function in Pulmonary Fibrosis with Xenon-129 MRI
por: Mata, Jaime, et al.
Publicado: (2021)

Pulmonary Function Tests in the Evaluation of Early Lung Disease in Cystic Fibrosis
por: Walicka-Serzysko, Katarzyna, et al.
Publicado: (2023)

Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
por: Wong, Alexander, et al.
Publicado: (2021)

Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning
por: Ota, Keisuke, et al.
Publicado: (2020)

The Application of Deep Learning for the Evaluation of User Interfaces
por: Keselj, Ana, et al.
Publicado: (2022)

Cough in Idiopathic Pulmonary Fibrosis
por: Mann, Jennifer, et al.
Publicado: (2021)

Detecting the pulmonary trunk in CT scout views using deep learning
por: Demircioğlu, Aydin, et al.
Publicado: (2021)

A multitask deep learning approach for pulmonary embolism detection and identification
por: Ma, Xiaotian, et al.
Publicado: (2022)

Idiopathic pulmonary fibrosis
por: Meltzer, Eric B, et al.
Publicado: (2008)

Flu and pulmonary fibrosis
por: Sharma, Bharat Bhushan, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_ojjnqm1j253k5j6lnrvkok5tmr