AIMC Topic: Lung

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CE-Net: Context Encoder Network for 2D Medical Image Segmentation.

IEEE transactions on medical imaging Mar 7, 2019
Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation, ...
Lung Image Processing, Computer-Assisted Retina Retinal Vessels Humans Neural Networks, Computer Algorithms
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Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning.

Nature biomedical engineering Mar 4, 2019
The histological analysis of tissue samples, widely used for disease diagnosis, involves lengthy and laborious tissue preparation. Here, we show that a convolutional neural network trained using a generative adversarial-network model can transform wi...
Staining and Labeling Liver Reference Standards Melanins Fluorescence Deep Learning Image Processing, Computer-Assisted Algorithms Humans Lung Neural Networks, Computer
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Quantifying lung ultrasound comets with a convolutional neural network: Initial clinical results.

Computers in biology and medicine Feb 7, 2019
Lung ultrasound comets are "comet-tail" artifacts appearing in lung ultrasound images. They are particularly useful in detecting several lung pathologies and may indicate the amount of extravascular lung water. However, the comets are not always well...
Humans Neural Networks, Computer Female Aged Image Interpretation, Computer-Assisted Artifacts Extravascular Lung Water Lung Ultrasonography Adult Blood Pressure Male Middle Aged
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Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 23, 2019
BACKGROUND AND PURPOSE: Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for locally advanced non-small cell lung cancer (LA-NSCLC). Prior studies have proposed relevant dosimetric constraints to limit this toxicity. Using machine ...
Radiation Pneumonitis Lung Aged Humans Lung Neoplasms Radiotherapy Dosage Predictive Value of Tests Machine Learning Male Chemoradiotherapy Carcinoma, Non-Small-Cell Lung Neoplasm Staging Female Middle Aged
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Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Radiology Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Humans Deep Learning Image Processing, Computer-Assisted Sensitivity and Specificity Lung Neoplasms Algorithms Lung Solitary Pulmonary Nodule Diagnosis, Computer-Assisted
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Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography.

PloS one Jan 10, 2019
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the detection of lung cancer on CT scans. The proposed scheme is composed of four major steps: (1) lung volume segmentation, (2) nodule candidate extractio...
Algorithms Tomography, X-Ray Computed Humans Support Vector Machine Solitary Pulmonary Nodule Lung False Positive Reactions Imaging, Three-Dimensional Lung Neoplasms
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Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Jan 9, 2019
OBJECTIVE: Deep learning has recently been applied to electrical impedance tomography (EIT) imaging. Nevertheless, there are still many challenges that this approach has to face, e.g., targets with sharp corners or edges cannot be well recovered when...
Lung Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Heart Tomography Humans Electric Impedance
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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

Biomedical engineering online Jan 3, 2019
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT ima...
Lung ROC Curve Image Processing, Computer-Assisted Cluster Analysis Algorithms Tomography, X-Ray Computed Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Data Collection False Positive Reactions Neural Networks, Computer Machine Learning Humans
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Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.

IEEE journal of biomedical and health informatics Jan 1, 2019
Automated tissue classification is an essential step for quantitative analysis and treatment of emphysema. Although many studies have been conducted in this area, there still remain two major challenges. First, different emphysematous tissue appears ...
Lung Deep Learning Pulmonary Emphysema Image Interpretation, Computer-Assisted Aged Adult Middle Aged Humans Algorithms Tomography, X-Ray Computed
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A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network.

International journal of biological sciences Jan 1, 2019
In this paper, a method of characteristic extraction and recognition on lung sounds is given. Wavelet de-noised method is adopted to reduce noise of collected lung sounds and extract wavelet characteristic coefficients of the de-noised lung sounds by...
Lung Discriminant Analysis Wavelet Analysis Respiratory Sounds Humans Neural Networks, Computer Algorithms
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