AIMC Topic: Thorax

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MEA-Net: multilayer edge attention network for medical image segmentation.

Scientific reports May 12, 2022
Medical image segmentation is a fundamental step in medical analysis and diagnosis. In recent years, deep learning networks have been used for precise segmentation. Numerous improved encoder-decoder structures have been proposed for various segmentat...
Neural Networks, Computer Thorax Lung Retinal Vessels Image Processing, Computer-Assisted
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Automated estimation of total lung volume using chest radiographs and deep learning.

Medical physics Apr 18, 2022
BACKGROUND: Total lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases.
Retrospective Studies Lung Humans Lung Volume Measurements Radiography, Thoracic Thorax Deep Learning
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CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning.

Computers in biology and medicine Apr 15, 2022
BACKGROUND: Automated generation of radiological reports for different imaging modalities is essentially required to smoothen the clinical workflow and alleviate radiologists' workload. It involves the careful amalgamation of image processing techniq...
Image Processing, Computer-Assisted Deep Learning Thorax Radiography X-Rays
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3D Kinect Camera Scheme with Time-Series Deep-Learning Algorithms for Classification and Prediction of Lung Tumor Motility.

Sensors (Basel, Switzerland) Apr 11, 2022
This paper proposes a time-series deep-learning 3D Kinect camera scheme to classify the respiratory phases with a lung tumor and predict the lung tumor displacement. Specifically, the proposed scheme is driven by two time-series deep-learning algorit...
Lung Neoplasms Thorax Phantoms, Imaging Algorithms Deep Learning Humans
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Pros and Cons of Applying Deep Learning Automatic Scan-Range Adjustment to Low-Dose Chest CT in Lung Cancer Screening Programs.

Academic radiology Apr 8, 2022
Lung Neoplasms Early Detection of Cancer Tomography, X-Ray Computed Deep Learning Thorax Humans
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Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model.

Nature communications Apr 6, 2022
The inability to accurately, efficiently label large, open-access medical imaging datasets limits the widespread implementation of artificial intelligence models in healthcare. There have been few attempts, however, to automate the annotation of such...
X-Rays Radiography Humans Thorax Artificial Intelligence Delivery of Health Care
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H-SegNet: hybrid segmentation network for lung segmentation in chest radiographs using mask region-based convolutional neural network and adaptive closed polyline searching method.

Physics in medicine and biology Mar 29, 2022
Chest x-ray (CXR) is one of the most commonly used imaging techniques for the detection and diagnosis of pulmonary diseases. One critical component in many computer-aided systems, for either detection or diagnosis in digital CXR, is the accurate segm...
Humans Neural Networks, Computer Lung Image Processing, Computer-Assisted Thorax Radiography Lung Diseases
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Research on Lung Ultrasound Image Classification Based on Compressed Sensing.

Journal of healthcare engineering Mar 23, 2022
Pneumothorax is a common injury in disaster rescue, traffic accidents, and war trauma environments and requires early diagnosis and treatment. The commonly used X-ray, CT, and other diagnostic instruments are not suitable for rescue sites due to thei...
Ultrasonography Thorax Neural Networks, Computer Humans Lung Data Compression
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Comparison and verification of two deep learning models for the detection of chest CT rib fractures.

Acta radiologica (Stockholm, Sweden : 1987) Mar 18, 2022
BACKGROUND: A high false-positive rate remains a technical glitch hindering the broad spectrum of application of deep-learning-based diagnostic tools in routine radiological practice from assisting in diagnosing rib fractures.
Tomography, X-Ray Computed Sensitivity and Specificity Rib Fractures Retrospective Studies Deep Learning Humans Thorax
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A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence.

BMC medical imaging Mar 16, 2022
BACKGROUND: Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology is usual...
Observer Variation Humans Thorax Artificial Intelligence Radiologists
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