AIMC Topic: Lung Diseases, Interstitial

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Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.

Radiology Oct 20, 2020
Background Longitudinal follow-up of interstitial lung diseases (ILDs) at CT mainly relies on the evaluation of the extent of ILD, without accounting for lung shrinkage. Purpose To develop a deep learning-based method to depict worsening of ILD based...
Humans Retrospective Studies Tomography, X-Ray Computed Female Longitudinal Studies Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Scleroderma, Systemic Male Middle Aged Lung Deep Learning
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Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

Archives of cardiovascular diseases Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Machine Learning Phenotype Prospective Studies Prognosis Humans Heart Diseases France Pulmonary Arterial Hypertension Comorbidity Health Status Cluster Analysis Kidney Diseases Registries Lung Diseases, Interstitial Data Mining Aged, 80 and over Male Middle Aged Female Risk Assessment Risk Factors Aged
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Deep learning in interstitial lung disease-how long until daily practice.

European radiology Jun 14, 2020
Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis of interstitium, with clinical, radiological, and pathological overlapping features. These are an important cause of morbidity and mortality among lung...
Lung Diagnosis, Computer-Assisted Deep Learning Inflammation Algorithms Tomography, X-Ray Computed Reproducibility of Results Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Pattern Recognition, Automated Humans Neural Networks, Computer
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Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care.

EBioMedicine Apr 4, 2020
BACKGROUND: Interstitial lung disease requires frequent re-examination, which directly causes excessive cumulative radiation exposure. To date, AI has not been applied to CT for enhancing clinical care; thus, we hypothesize AI may empower CT with int...
Middle Aged Image Processing, Computer-Assisted Lung Diseases, Interstitial Radiation Exposure Patient-Specific Modeling Machine Learning Tomography, X-Ray Computed Female Male Humans
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Deep learning for screening of interstitial lung disease patterns in high-resolution CT images.

Clinical radiology Feb 16, 2020
AIM: To develop a screening tool for the detection of interstitial lung disease (ILD) patterns using a deep-learning method.
Lung Diseases, Interstitial Datasets as Topic Humans Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Radiographic Image Interpretation, Computer-Assisted
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A deep convolutional neural network architecture for interstitial lung disease pattern classification.

Medical & biological engineering & computing Jan 22, 2020
Interstitial lung disease (ILD) refers to a group of various abnormal inflammations of lung tissues and early diagnosis of these disease patterns is crucial for the treatment. Yet it is difficult to make an accurate diagnosis due to the similarity am...
Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed Diagnosis, Computer-Assisted Deep Learning Lung Diseases, Interstitial
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Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks.

Scientific reports Jan 15, 2020
Subtle interstitial changes in the lung parenchyma of smokers, known as Interstitial Lung Abnormalities (ILA), have been associated with clinical outcomes, including mortality, even in the absence of Interstitial Lung Disease (ILD). Although several ...
Area Under Curve Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Prognosis Tomography, X-Ray Computed Humans Lung Neural Networks, Computer ROC Curve Databases, Factual
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Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.

European radiology Nov 20, 2019
OBJECTIVE: To investigate the feasibility of a deep learning-based detection (DLD) system for multiclass lesions on chest radiograph, in comparison with observers.
Lung Diseases, Interstitial Radiography, Thoracic Pneumothorax Pleural Diseases Humans Radiography Female Pleural Effusion Aged Lung Diseases Adult ROC Curve Sensitivity and Specificity Lung Neoplasms Male Solitary Pulmonary Nodule Middle Aged Area Under Curve Deep Learning
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Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study.

The Lancet. Respiratory medicine Sep 16, 2018
BACKGROUND: Based on international diagnostic guidelines, high-resolution CT plays a central part in the diagnosis of fibrotic lung disease. In the correct clinical context, when high-resolution CT appearances are those of usual interstitial pneumoni...
Lung Diseases, Interstitial Practice Guidelines as Topic Proportional Hazards Models Humans Reproducibility of Results Tomography, X-Ray Computed Deep Learning Cohort Studies Idiopathic Pulmonary Fibrosis
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Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.

IEEE journal of biomedical and health informatics Mar 26, 2018
Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment decisions, but can be challenging even for experienced radiologists. The diagnostic procedure is based on the detection and recognition of the different...
Semantics Lung Humans Supervised Machine Learning Neural Networks, Computer Lung Diseases, Interstitial Tomography, X-Ray Computed Image Interpretation, Computer-Assisted
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