AIMC Topic: Lung

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IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.

Computers in biology and medicine Jun 12, 2021
Accurate segmentation of medical images plays an essential role in their analysis and has a wide range of research and application values in fields of practice such as medical research, disease diagnosis, disease analysis, and auxiliary surgery. In r...
Image Processing, Computer-Assisted Attention Retinal Vessels Neural Networks, Computer Lung
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Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan.

Computers in biology and medicine Jun 12, 2021
This research work aims to identify COVID-19 through deep learning models using lung CT-SCAN images. In order to enhance lung CT scan efficiency, a super-residual dense neural network was applied. The experimentation has been carried out using benchm...
Humans COVID-19 Tomography, X-Ray Computed Lung Deep Learning
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Weighing features of lung and heart regions for thoracic disease classification.

BMC medical imaging Jun 10, 2021
BACKGROUND: Chest X-rays are the most commonly available and affordable radiological examination for screening thoracic diseases. According to the domain knowledge of screening chest X-rays, the pathological information usually lay on the lung and he...
Thoracic Diseases Heart Diseases Radiography, Thoracic Humans Lung Deep Learning ROC Curve Heart Lung Diseases
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COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system.

PloS one Jun 7, 2021
Chest X-rays (CXRs) can help triage for Coronavirus disease (COVID-19) patients in resource-constrained environments, and a computer-aided detection system (CAD) that can identify pneumonia on CXR may help the triage of patients in those environment ...
Republic of Korea Female Aged Retrospective Studies Deep Learning Tomography, X-Ray Computed Humans Male Radiographic Image Interpretation, Computer-Assisted COVID-19 Middle Aged Radiography, Thoracic Lung
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MHSU-Net: A more versatile neural network for medical image segmentation.

Computer methods and programs in biomedicine Jun 6, 2021
BACKGROUND AND OBJECTIVE: Medical image segmentation plays an important role in clinic. Recently, with the development of deep learning, many convolutional neural network (CNN)-based medical image segmentation algorithms have been proposed. Among the...
Humans Lung Image Processing, Computer-Assisted Pancreas Neural Networks, Computer Algorithms
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Artificial Neural Network-Based Deep Learning Model for COVID-19 Patient Detection Using X-Ray Chest Images.

Journal of healthcare engineering Jun 5, 2021
The world is experiencing an unprecedented crisis due to the coronavirus disease (COVID-19) outbreak that has affected nearly 216 countries and territories across the globe. Since the pandemic outbreak, there is a growing interest in computational mo...
Deep Learning SARS-CoV-2 Radiography, Thoracic Humans Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted COVID-19 Lung
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AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset.

European radiology Jun 4, 2021
OBJECTIVE: Assess if deep learning-based artificial intelligence (AI) algorithm improves reader performance for lung cancer detection on chest X-rays (CXRs).
Humans Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Lung Lung Neoplasms Radiography Algorithms Sensitivity and Specificity
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Natural Language Processing to Identify Pulmonary Nodules and Extract Nodule Characteristics From Radiology Reports.

Chest Jun 4, 2021
BACKGROUND: There is an urgent need for population-based studies on managing patients with pulmonary nodules.
Natural Language Processing Radiology Tumor Burden Solitary Pulmonary Nodule Calcinosis Dimensional Measurement Accuracy Quality Improvement Documentation Radiography, Thoracic Tomography, X-Ray Computed Sensitivity and Specificity Lung Lung Neoplasms Multiple Pulmonary Nodules Humans Algorithms
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Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method.

IEEE journal of biomedical and health informatics Jun 3, 2021
Chest computed tomography (CT) image data is necessary for early diagnosis, treatment, and prognosis of Coronavirus Disease 2019 (COVID-19). Artificial intelligence has been tried to help clinicians in improving the diagnostic accuracy and working ef...
Humans COVID-19 Tomography, X-Ray Computed Reproducibility of Results Supervised Machine Learning SARS-CoV-2 Datasets as Topic Lung
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Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease.

IEEE journal of biomedical and health informatics Jun 3, 2021
Diagnosis techniques based on medical image modalities have higher sensitivities compared to conventional RT-PCT tests. We propose two methods for diagnosing COVID-19 disease using X-ray images and differentiating it from viral pneumonia. The diagnos...
Humans SARS-CoV-2 Neural Networks, Computer Lung COVID-19 Radiography, Thoracic Algorithms
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