Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases
Authors
Keywords
Lung, CT, COPD, Interstitial lung disease, Connective tissue disease
Journal
EUROPEAN JOURNAL OF RADIOLOGY
Volume 134, Issue -, Pages 109410
Publisher
Elsevier BV
Online
2020-11-12
DOI
10.1016/j.ejrad.2020.109410
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A deep convolutional neural network architecture for interstitial lung disease pattern classification
- (2020) Sheng Huang et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT
- (2020) Yoshiharu Ohno et al. RADIOLOGY
- Proceedings of the American College of Rheumatology/Association of Physicians of Great Britain and Ireland Connective Tissue Disease–Associated Interstitial Lung Disease Summit: A Multidisciplinary Approach to Address Challenges and Opportunities
- (2019) Aryeh Fischer et al. QJM-AN INTERNATIONAL JOURNAL OF MEDICINE
- Automated CT quantification methods for the assessment of interstitial lung disease in collagen vascular diseases: A systematic review
- (2019) Florien S. van Royen et al. EUROPEAN JOURNAL OF RADIOLOGY
- Visual vs. computer-based computed tomography analysis for the identification of functional patterns in interstitial lung diseases
- (2019) Alexander J. Procter et al. CURRENT OPINION IN PULMONARY MEDICINE
- Computer-aided Quantification of Pulmonary Fibrosis in Patients with Lung Cancer: Relationship to Disease-free Survival
- (2019) Tae Iwasawa et al. RADIOLOGY
- Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique
- (2018) Yoshiharu Ohno et al. EUROPEAN JOURNAL OF RADIOLOGY
- Clinically applicable deep learning for diagnosis and referral in retinal disease
- (2018) Jeffrey De Fauw et al. NATURE MEDICINE
- Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study
- (2018) Simon L F Walsh et al. Lancet Respiratory Medicine
- Computed Tomography Imaging for Novel Therapies of Chronic Obstructive Pulmonary Disease
- (2018) Hans-Ulrich Kauczor et al. JOURNAL OF THORACIC IMAGING
- Interstitial Lung Disease and Other Pulmonary Manifestations in Connective Tissue Diseases
- (2018) Isabel Mira-Avendano et al. MAYO CLINIC PROCEEDINGS
- Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis
- (2017) Sang Min Lee et al. EUROPEAN RADIOLOGY
- Novel Assessment of Interstitial Lung Disease Using the “Computer-Aided Lung Informatics for Pathology Evaluation and Rating” (CALIPER) Software System in Idiopathic Inflammatory Myopathies
- (2017) Patompong Ungprasert et al. LUNG
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Idiopathic Pulmonary Fibrosis: Data-driven Textural Analysis of Extent of Fibrosis at Baseline and 15-Month Follow-up
- (2017) Stephen M. Humphries et al. RADIOLOGY
- Evaluation of visual and computer-based CT analysis for the identification of functional patterns of obstruction and restriction in hypersensitivity pneumonitis
- (2017) Joseph Jacob et al. RESPIROLOGY
- Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study
- (2016) Yoshiharu Ohno et al. EUROPEAN JOURNAL OF RADIOLOGY
- Present and future utility of computed tomography scanning in the assessment and management of COPD
- (2016) Kristoffer Ostridge et al. EUROPEAN RESPIRATORY JOURNAL
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Multicentre evaluation of multidisciplinary team meeting agreement on diagnosis in diffuse parenchymal lung disease: a case-cohort study
- (2016) Simon L F Walsh et al. Lancet Respiratory Medicine
- An official European Respiratory Society/American Thoracic Society research statement: interstitial pneumonia with autoimmune features
- (2015) Aryeh Fischer et al. EUROPEAN RESPIRATORY JOURNAL
- Interobserver agreement for the ATS/ERS/JRS/ALAT criteria for a UIP pattern on CT
- (2015) Simon L F Walsh et al. THORAX
- CT staging and monitoring of fibrotic interstitial lung diseases in clinical practice and treatment trials: a Position Paper from the Fleischner society
- (2015) David M Hansell et al. Lancet Respiratory Medicine
- Low-Normal Lung Volume Correlates With Pulmonary Hypertension in Fibrotic Idiopathic Interstitial Pneumonia: Computer-Aided 3D Quantitative Analysis of Chest CT
- (2014) Tae Iwasawa et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Current approach to connective tissue disease-associated interstitial lung disease
- (2014) Joshua J. Solomon et al. CURRENT OPINION IN PULMONARY MEDICINE
- Diagnosis and Treatment of Connective Tissue Disease-Associated Interstitial Lung Disease
- (2013) Rekha Vij et al. CHEST
- Computer-aided detection of lung nodules on multidetector CT in concurrent-reader and second-reader modes: A comparative study
- (2013) Sumiaki Matsumoto et al. EUROPEAN JOURNAL OF RADIOLOGY
- CT analysis of the effect of pirfenidone in patients with idiopathic pulmonary fibrosis
- (2012) Tae Iwasawa et al. EUROPEAN JOURNAL OF RADIOLOGY
- A Radial Structure Tensor and Its Use for Shape-Encoding Medical Visualization of Tubular and Nodular Structures
- (2012) Rafael Wiemker et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Interstitial lung disease in connective tissue disorders
- (2012) Aryeh Fischer et al. LANCET
- Interobserver Variability in the CT Assessment of Honeycombing in the Lungs
- (2012) Takeyuki Watadani et al. RADIOLOGY
- An Official ATS/ERS/JRS/ALAT Statement: Idiopathic Pulmonary Fibrosis: Evidence-based Guidelines for Diagnosis and Management
- (2011) Ganesh Raghu et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Computer-assisted detection of infectious lung diseases: A review
- (2011) Ulaş Bağcı et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Potential contribution of multiplanar reconstruction (MPR) to computer-aided detection of lung nodules on MDCT
- (2011) Sumiaki Matsumoto et al. EUROPEAN JOURNAL OF RADIOLOGY
- Assessment of Prognosis of Patients With Idiopathic Pulmonary Fibrosis by Computer-aided Analysis of CT Images
- (2009) Tae Iwasawa et al. JOURNAL OF THORACIC IMAGING
- Computer-aided detection of lung nodules on multidetector row computed tomography using three-dimensional analysis of nodule candidates and their surroundings
- (2008) Sumiaki Matsumoto et al.
- Fleischner Society: Glossary of Terms for Thoracic Imaging
- (2008) David M. Hansell et al. RADIOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now