AIMC Topic: Radiography, Thoracic

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Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.

Journal of imaging informatics in medicine Aug 20, 2024
In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BNN) approximation for confidence-aware severity classification of lung diseases in COVID-19 patients using chest X-rays (CXRs). Trained and tested on 1...
Monte Carlo Method Male Middle Aged Severity of Illness Index Bayes Theorem Lung Diseases Radiography, Thoracic COVID-19 Female SARS-CoV-2 Humans Neural Networks, Computer
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[Not Available].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Aug 15, 2024
Radiography, Thoracic Humans Artificial Intelligence Deep Learning Triage
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Weakly-supervised learning-based pathology detection and localization in 3D chest CT scans.

Medical physics Aug 14, 2024
BACKGROUND: Recent advancements in anomaly detection have paved the way for novel radiological reading assistance tools that support the identification of findings, aimed at saving time. The clinical adoption of such applications requires a low rate ...
Radiography, Thoracic Thorax Humans Tomography, X-Ray Computed Lung Imaging, Three-Dimensional Supervised Machine Learning
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Ensemble of Deep Learning Architectures with Machine Learning for Pneumonia Classification Using Chest X-rays.

Journal of imaging informatics in medicine Aug 13, 2024
Pneumonia is a severe health concern, particularly for vulnerable groups, needing early and correct classification for optimal treatment. This study addresses the use of deep learning combined with machine learning classifiers (DLxMLCs) for pneumonia...
Humans Neural Networks, Computer Machine Learning Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Deep Learning Support Vector Machine Pneumonia
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A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.

Journal of imaging informatics in medicine Aug 13, 2024
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of elevated pulm...
Aged Sensitivity and Specificity Male Humans Female Electrocardiography Radiography, Thoracic Pulmonary Arterial Hypertension Echocardiography Middle Aged Deep Learning
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Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.

PloS one Aug 12, 2024
PURPOSE: This study aimed to develop an algorithm for the automatic detecting chest percutaneous catheter drainage (PCD) and evaluating catheter positions on chest radiographs using deep learning.
Catheters Adult Male Retrospective Studies Humans Middle Aged Female Algorithms Deep Learning Aged Drainage Radiography, Thoracic
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Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems.

Research in veterinary science Aug 8, 2024
A heart-convolutional neural network (heart-CNN) was designed and tested for the automatic classification of chest radiographs in dogs affected by myxomatous mitral valve disease (MMVD) at different stages of disease severity. A retrospective and mul...
Neural Networks, Computer Radiography, Thoracic Male Echocardiography Retrospective Studies Dogs Severity of Illness Index Female Artificial Intelligence Dog Diseases Animals Algorithms Mitral Valve Insufficiency
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Explainable Knowledge Distillation for On-Device Chest X-Ray Classification.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Automated multi-label chest X-rays (CXR) image classification has achieved substantial progress in clinical diagnosis via utilizing sophisticated deep learning approaches. However, most deep models have high computational demands, which makes them le...
Artificial Intelligence Algorithms Databases, Factual Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic
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CDT-CAD: Context-Aware Deformable Transformers for End-to-End Chest Abnormality Detection on X-Ray Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Deep learning methods have achieved great success in medical image analysis domain. However, most of them suffer from slow convergency and high computing cost, which prevents their further widely usage in practical scenarios. Moreover, it has been pr...
Radiography, Thoracic Thorax Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Databases, Factual
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A Deep Learning Method for Pneumonia Detection Based on Fuzzy Non-Maximum Suppression.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Pneumonia is one of the largest causes of death in the world. Deep learning techniques can assist doctors to detect the areas of pneumonia in the chest X-rays images. However, existing methods lack sufficient consideration for the large variation sca...
Algorithms Deep Learning Fuzzy Logic Pneumonia Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Humans
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