AIMC Topic: Lung Diseases, Interstitial

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Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification.

IEEE journal of biomedical and health informatics Mar 21, 2017
We propose a new multiscale rotation-invariant convolutional neural network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography. MRCNN employs Gabor-local binary pattern that introduces a good property in im...
Lung Diseases, Interstitial Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms Lung
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Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis.

IEEE journal of biomedical and health informatics Dec 7, 2016
Early diagnosis of interstitial lung diseases is crucial for their treatment, but even experienced physicians find it difficult, as their clinical manifestations are similar. In order to assist with the diagnosis, computer-aided diagnosis systems hav...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Tomography, X-Ray Computed Lung Lung Diseases, Interstitial Humans Neural Networks, Computer Machine Learning
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Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.

IEEE transactions on medical imaging Feb 29, 2016
Automated tissue characterization is one of the most crucial components of a computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has been conducted in this field, the problem remains challenging. Deep l...
Humans Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Lung Lung Diseases, Interstitial
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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.

IEEE transactions on medical imaging Feb 11, 2016
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly representative, hierarchical image fea...
Databases, Factual Reproducibility of Results Diagnosis, Computer-Assisted Lymph Nodes Lung Diseases, Interstitial Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Enhanced Classification of Interstitial Lung Disease Patterns in HRCT Images Using Differential Lacunarity.

BioMed research international Dec 22, 2015
The analysis and interpretation of high-resolution computed tomography (HRCT) images of the chest in the presence of interstitial lung disease (ILD) is a time-consuming task which requires experience. In this paper, a computer-aided diagnosis (CAD) s...
Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Female Support Vector Machine Humans Lung Diseases, Interstitial Male Tomography, X-Ray Computed Lung
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Locality-constrained Subcluster Representation Ensemble for lung image classification.

Medical image analysis Mar 24, 2015
In this paper, we propose a new Locality-constrained Subcluster Representation Ensemble (LSRE) model, to classify high-resolution computed tomography (HRCT) images of interstitial lung diseases (ILDs). Medical images normally exhibit large intra-clas...
Lung Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Humans Pattern Recognition, Automated Algorithms Machine Learning Radiography, Thoracic Tomography, X-Ray Computed Radiographic Image Enhancement Sensitivity and Specificity
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Application of Quantitative CT and Machine Learning in the Evaluation and Diagnosis of Polymyositis/Dermatomyositis-Associated Interstitial Lung Disease.

Academic radiology Aug 1, 2025
RATIONALE AND OBJECTIVES: To investigate lung changes in patients with polymyositis/dermatomyositis-associated interstitial lung disease (PM/DM-ILD) using quantitative CT and to construct a diagnostic model to evaluate the application of quantitative...
Lung Diseases, Interstitial Polymyositis Lung Radiographic Image Interpretation, Computer-Assisted Dermatomyositis Female Aged Adult Sensitivity and Specificity Male Middle Aged Machine Learning Retrospective Studies Tomography, X-Ray Computed Humans
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Current State of Fibrotic Interstitial Lung Disease Imaging.

Radiology Jul 1, 2025
Interstitial lung disease (ILD) diagnosis is complex, continuously evolving, and increasingly reliant on thin-section chest CT. Multidisciplinary discussion aided by a thorough radiologic review can achieve a high-confidence diagnosis of ILD in the m...
Humans Idiopathic Pulmonary Fibrosis Pulmonary Fibrosis Lung Diseases, Interstitial Prognosis Tomography, X-Ray Computed Lung
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AI-powered evaluation of lung function for diagnosis of interstitial lung disease.

Thorax Jun 16, 2025
BACKGROUND: The diagnosis of interstitial lung disease (ILD) can pose a challenge as the pulmonary function test (PFT) is only minimally affected at the onset. To improve early diagnosis, this study aims to explore the potential of artificial intelli...
Humans Artificial Intelligence Software Male Middle Aged Diagnosis, Differential Retrospective Studies Female Aged Lung Diseases, Interstitial Respiratory Function Tests
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A computed tomography-based deep learning radiomics model for predicting the gender-age-physiology stage of patients with connective tissue disease-associated interstitial lung disease.

Computers in biology and medicine Jun 1, 2025
OBJECTIVES: To explore the feasibility of using a diagnostic model constructed with deep learning-radiomics (DLR) features extracted from chest computed tomography (CT) images to predict the gender-age-physiology (GAP) stage of patients with connecti...
Deep Learning Lung Diseases, Interstitial Connective Tissue Diseases Humans Retrospective Studies Radiomics Tomography, X-Ray Computed Male Middle Aged Female Aged Adult
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