AIMC Topic: Lung Diseases

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Swarm Learning for decentralized and confidential clinical machine learning.

Nature May 26, 2021
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes. However, there is an i...
Datasets as Topic Leukemia Blockchain Lung Diseases Tuberculosis Clinical Decision-Making Female Male Disease Outbreaks Leukocytes Confidentiality Software COVID-19 Precision Medicine Humans Machine Learning
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Segmenting lung lesions of COVID-19 from CT images via pyramid pooling improved Unet.

Biomedical physics & engineering express May 20, 2021
Segmenting lesion regions of Coronavirus Disease 2019 (COVID-19) from computed tomography (CT) images is a challenge owing to COVID-19 lesions characterized by high variation, low contrast between infection lesions and around normal tissues, and blur...
Lung Diseases Humans Specimen Handling Neural Networks, Computer COVID-19 SARS-CoV-2 Algorithms Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs.

The European respiratory journal May 20, 2021
We aimed to develop a deep learning algorithm detecting 10 common abnormalities (DLAD-10) on chest radiographs, and to evaluate its impact in diagnostic accuracy, timeliness of reporting and workflow efficacy.DLAD-10 was trained with 146 717 radiogra...
Humans Radiography Lung Diseases Radiography, Thoracic Algorithms Retrospective Studies Deep Learning
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A self-supervised feature-standardization-block for cross-domain lung disease classification.

Methods (San Diego, Calif.) May 13, 2021
With the advance of deep learning technology, convolutional neural network (CNN) has been wildly used and achieved the state-of-the-art performances in the area of medical image classification. However, most existing medical image classification meth...
Reference Standards Lung Humans Deep Learning Neural Networks, Computer Lung Diseases
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An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs.

Computers in biology and medicine May 8, 2021
The human respiratory network is a vital system that provides oxygen supply and nourishment to the whole body. Pulmonary diseases can cause severe respiratory problems, leading to sudden death if not treated timely. Many researchers have utilized dee...
Radiography Bayes Theorem Lung Diseases Humans Neural Networks, Computer Deep Learning
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RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.

International journal of computer assisted radiology and surgery Apr 12, 2021
PURPOSE: The robust and automatic segmentation of the pulmonary lobe is vital to surgical planning and regional image analysis of pulmonary related diseases in real-time Computer Aided Diagnosis systems. While a number of studies have examined this i...
Neural Networks, Computer Humans Tomography, X-Ray Computed Lung Imaging, Three-Dimensional Image Processing, Computer-Assisted Lung Diseases
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Added Value of Deep Learning-based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study.

Radiology Mar 23, 2021
Background Previous studies assessing the effects of computer-aided detection on observer performance in the reading of chest radiographs used a sequential reading design that may have biased the results because of reading order or recall bias. Purpo...
Observer Variation Retrospective Studies Radiography, Thoracic Republic of Korea Sensitivity and Specificity Deep Learning Female Male Lung Diseases Humans Middle Aged Cross-Over Studies
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Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 1, 2021
This paper focuses on the thorax disease classification problem in chest X-ray (CXR) images. Different from the generic image classification task, a robust and stable CXR image analysis system should consider the unique characteristics of CXR images....
Lung Diseases Radiography, Thoracic Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans
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Pulmonary Ventilation Maps Generated with Free-breathing Proton MRI and a Deep Convolutional Neural Network.

Radiology Dec 8, 2020
Background Hyperpolarized noble gas MRI helps measure lung ventilation, but clinical translation remains limited. Free-breathing proton MRI may help quantify lung function using existing MRI systems without contrast material and may assist in providi...
Male Middle Aged Lung Aged Adult Pulmonary Ventilation Protons Humans Magnetic Resonance Imaging Neural Networks, Computer Lung Diseases Prospective Studies Image Interpretation, Computer-Assisted Female
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Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection.

Biomedical engineering online Nov 25, 2020
BACKGROUND: The large volume and suboptimal image quality of portable chest X-rays (CXRs) as a result of the COVID-19 pandemic could post significant challenges for radiologists and frontline physicians. Deep-learning artificial intelligent (AI) meth...
Lung Diseases Humans Radiography, Thoracic COVID-19 Machine Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
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