AIMC Topic: Tuberculosis

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A systematic review and repeatability study on the use of deep learning for classifying and detecting tuberculosis bacilli in microscopic images.

Progress in biophysics and molecular biology Apr 5, 2023
Tuberculosis (TB) is among the leading causes of death worldwide from a single infectious agent. This disease usually affects the lungs (pulmonary TB) and can be cured in most cases with a quick diagnosis and proper treatment. Microscopic sputum smea...
Humans Reproducibility of Results Tuberculosis Tuberculosis, Pulmonary Mycobacterium tuberculosis Sensitivity and Specificity Deep Learning
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Leptin levels in childhood tuberculosis and its correlation with body mass index, IFN-γ, and TNF-α in an Indonesian population.

The Indian journal of tuberculosis Mar 31, 2023
BACKGROUND: Leptin plays a key role in the regulation of energy and inflammation in tuberculosis (TB). However, its correlation in children with TB remains unclear. Therefore, this study aimed to evaluate the correlations between body mass index, IFN...
Tuberculosis Child Body Mass Index Body Weight Humans Indonesia Cross-Sectional Studies Leptin Tumor Necrosis Factor-alpha Adolescent
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Identification of Active Pulmonary Tuberculosis Among Patients With Positive Interferon-Gamma Release Assay Results: Value of a Deep Learning-based Computer-aided Detection System in Different Scenarios of Implementation.

Journal of thoracic imaging Feb 3, 2023
PURPOSE: To evaluate the accuracy of a deep learning-based computer-aided detection (CAD) system in identifying active pulmonary tuberculosis on chest radiographs (CRs) of patients with positive interferon-gamma release assay (IGRA) results in differ...
Tuberculosis, Pulmonary Interferon-gamma Release Tests Male Middle Aged Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Tuberculosis Humans Computers Deep Learning
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Artificial Intelligence in Paediatric Tuberculosis.

Pediatric radiology Jan 28, 2023
Tuberculosis (TB) continues to be a leading cause of death in children despite global efforts focused on early diagnosis and interventions to limit the spread of the disease. This challenge has been made more complex in the context of the coronavirus...
Diagnostic Imaging Tuberculosis Humans Artificial Intelligence Child Radiography Diagnosis, Computer-Assisted
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Deep learning classification of active tuberculosis lung zones wise manifestations using chest X-rays: a multi label approach.

Scientific reports Jan 17, 2023
Chest X-rays are the most economically viable diagnostic imaging test for active pulmonary tuberculosis screening despite the high sensitivity and low specificity when interpreted by clinicians or radiologists. Computer aided detection (CAD) algorith...
Humans Lung Tuberculosis Tuberculosis, Pulmonary X-Rays Deep Learning Radiography
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Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review.

Journal of medical systems Oct 15, 2022
There has been an explosive growth in research over the last decade exploring machine learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary abnormalities. In particular, we have observed a strong interest in screeni...
Radiography Tuberculosis Neural Networks, Computer X-Rays Humans Deep Learning
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Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI.

Computers in biology and medicine Oct 3, 2022
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent technological advancements, such diseases may now be recognized more precisely ...
Pneumonia Tuberculosis COVID-19 Deep Learning Humans Artificial Intelligence
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AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model.

Computational intelligence and neuroscience Oct 3, 2022
Tuberculosis (TB) is an airborne disease caused by . It is imperative to detect cases of TB as early as possible because if left untreated, there is a 70% chance of a patient dying within 10 years. The necessity for supplementary tools has increased ...
Artificial Intelligence Algorithms Humans X-Rays Deep Learning Tuberculosis
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Early Diagnosis of Tuberculosis Using Deep Learning Approach for IOT Based Healthcare Applications.

Computational intelligence and neuroscience Sep 28, 2022
In the modern world, Tuberculosis (TB) is regarded as a serious health issue with a high rate of mortality. TB can be cured completely by early diagnosis. For achieving this, one tool utilized is CXR (Chest X-rays) which is used to screen active TB. ...
Tuberculosis Humans Algorithms Delivery of Health Care Deep Learning Early Diagnosis
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Computer aided detection of tuberculosis using two classifiers.

Biomedizinische Technik. Biomedical engineering Sep 26, 2022
Tuberculosis caused by Mycobacterium tuberculosis have been a major challenge for medical and healthcare sectors in many underdeveloped countries with limited diagnosis tools. Tuberculosis can be detected from microscopic slides and chest X-ray but a...
Humans Neural Networks, Computer Computers Deep Learning Artificial Intelligence Tuberculosis
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