AIMC Topic: Tuberculosis

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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 ...
Humans Artificial Intelligence Pneumonia Tuberculosis COVID-19 Deep Learning
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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 ...
Deep Learning Artificial Intelligence Tuberculosis Algorithms X-Rays Humans
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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. ...
Deep Learning Tuberculosis Algorithms Humans Delivery of Health Care 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 Artificial Intelligence Deep Learning Computers Tuberculosis
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Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists Now.

Radiology Sep 6, 2022
Tuberculosis Humans Tuberculosis, Pulmonary Deep Learning Radiography Radiologists
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Machine learning in the loop for tuberculosis diagnosis support.

Frontiers in public health Jul 26, 2022
The use of machine learning (ML) for diagnosis support has advanced in the field of health. In the present paper, the results of studying ML techniques in a tuberculosis diagnosis loop in a scenario of limited resources are presented. Data are analyz...
Neural Networks, Computer Machine Learning Humans Tuberculosis Logistic Models Support Vector Machine
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An efficient deep learning-based framework for tuberculosis detection using chest X-ray images.

Tuberculosis (Edinburgh, Scotland) Jul 19, 2022
Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease, decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the top choice for lung disease screening in clinics because it is ...
Pneumonia Tuberculosis Mycobacterium tuberculosis X-Rays Humans COVID-19 Neural Networks, Computer Deep Learning
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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...
Deep Learning Lung Diseases Humans COVID-19 Tuberculosis Pneumonia, Viral
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Discriminating TB lung nodules from early lung cancers using deep learning.

BMC medical informatics and decision making Jun 21, 2022
BACKGROUND: In developing countries where both high rates of smoking and endemic tuberculosis (TB) are often present, identification of early lung cancer can be significantly confounded by the presence of nodules such as those due to latent TB (LTB)....
Lung Deep Learning Lung Neoplasms Tuberculosis Humans Neural Networks, Computer
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A three-methylation-driven gene-based deep learning model for tuberculosis diagnosis in patients with and without human immunodeficiency virus co-infection.

Microbiology and immunology May 27, 2022
Improved diagnostic tests for tuberculosis (TB) among people with human immunodeficiency virus (HIV) are urgently required. We hypothesized that methylation-driven genes (MDGs) of host blood could be used to diagnose patients co-infected with HIV/TB....
Deep Learning HIV Infections Coinfection Tuberculosis Humans HIV Methylation
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