AIMC Topic: Lung Diseases

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Artificial Intelligence in the Imaging of Diffuse Lung Disease.

Radiologic clinics of North America Sep 7, 2022
Diffuse lung diseases are a heterogeneous group of disorders that can be difficult to differentiate by imaging using traditional methods of evaluation. The overlap between various disorders results in difficulty when medical professionals attempt to ...
Artificial Intelligence Diagnostic Imaging Lung Diseases Humans Neural Networks, Computer
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Automatic detection of A-line in lung ultrasound images using deep learning and image processing.

Medical physics Aug 23, 2022
BACKGROUND: Auxiliary diagnosis and monitoring of lung diseases based on lung ultrasound (LUS) images is important clinical research. A-line is one of the most common indicators of LUS that can offer support for the assessment of lung diseases. A tra...
Image Processing, Computer-Assisted Lung Diseases Deep Learning Ultrasonography Humans Lung
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Aerial Separation and Receiver Arrangements on Identifying Lung Syndromes Using the Artificial Neural Network.

Computational intelligence and neuroscience Aug 23, 2022
Lung disease is one of the most harmful diseases in traditional days and is the same nowadays. Early detection is one of the most crucial ways to prevent a human from developing these types of diseases. Many researchers are involved in finding variou...
Lung Lung Diseases Humans Machine Learning Neural Networks, Computer Algorithms
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Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.

Medical & biological engineering & computing Jul 14, 2022
Deep learning provides the healthcare industry with the ability to analyse data at exceptional speeds without compromising on accuracy. These techniques are applicable to healthcare domain for accurate and timely prediction. Convolutional neural netw...
Tuberculosis Pneumonia, Viral Deep Learning Lung Diseases Humans COVID-19
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Deep Learning-Based Prediction Model Using Radiography in Nontuberculous Mycobacterial Pulmonary Disease.

Chest Jun 28, 2022
BACKGROUND: Prognostic prediction of nontuberculous mycobacteria pulmonary disease using a deep learning technique has not been attempted.
Humans Retrospective Studies Lung Diseases Mycobacterium Infections, Nontuberculous Nontuberculous Mycobacteria Deep Learning Radiography
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Application of Recurrent Neural Network Algorithm in Intelligent Detection of Clinical Ultrasound Images of Human Lungs.

Computational intelligence and neuroscience Jun 24, 2022
Lung ultrasound has great application value in the differential diagnosis of pulmonary exudative lesions. It has good sensitivity and specificity for the diagnosis of various pulmonary diseases in neonates and children. It is believed that it can rep...
Ultrasonography Lung Diseases Lung Child Algorithms Humans Neural Networks, Computer Infant, Newborn
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DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs.

PloS one Mar 31, 2022
Automatic detection of some pulmonary abnormalities using chest X-rays may be impacted adversely due to obscuring by bony structures like the ribs and the clavicles. Automated bone suppression methods would increase soft tissue visibility and enhance...
Radiography, Thoracic Lung Diseases Clavicle Signal-To-Noise Ratio COVID-19 Ribs Humans Neural Networks, Computer
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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...
Lung Diseases Thorax Neural Networks, Computer Lung Image Processing, Computer-Assisted Radiography Humans
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Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been manually performed by radiologists, which creates huge burnouts and de...
Thorax Radiography Humans X-Rays Lung Diseases Deep Learning
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Bone suppression on pediatric chest radiographs via a deep learning-based cascade model.

Computer methods and programs in biomedicine Jan 10, 2022
BACKGROUND AND OBJECTIVE: Bone suppression images (BSIs) of chest radiographs (CXRs) have been proven to improve diagnosis of pulmonary diseases. To acquire BSIs, dual-energy subtraction (DES) or a deep-learning-based model trained with DES-based BSI...
Bone and Bones Lung Diseases Radiography, Thoracic Humans Tomography, X-Ray Computed Deep Learning Child Adult
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