[HTML][HTML] Deep learning for chest X-ray analysis: A survey
E Çallı, E Sogancioglu, B van Ginneken… - Medical Image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …
image analysis tasks. As the most commonly performed radiological exam, chest …
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
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 …
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Early detection of COVID-19 based on chest CT enables timely treatment of patients and
helps control the spread of the disease. We proposed an artificial intelligence (AI) system for …
helps control the spread of the disease. We proposed an artificial intelligence (AI) system for …
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
Background Chest x-rays are widely used in clinical practice; however, interpretation can be
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …
[HTML][HTML] Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms
Background Artificial intelligence (AI) algorithms can be trained to recognise tuberculosis-
related abnormalities on chest radiographs. Various AI algorithms are available …
related abnormalities on chest radiographs. Various AI algorithms are available …
Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis
AJ Codlin, TP Dao, LNQ Vo, RJ Forse, V Van Truong… - Scientific reports, 2021 - nature.com
There have been few independent evaluations of computer-aided detection (CAD) software
for tuberculosis (TB) screening, despite the rapidly expanding array of available CAD …
for tuberculosis (TB) screening, despite the rapidly expanding array of available CAD …
[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …
COVID-19 and chest radiography has an important role in the detection, and subsequent …
Remote health diagnosis and monitoring in the time of COVID-19
Abstract Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of …
coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of …
iDoc-X: An artificial intelligence model for tuberculosis diagnosis and localization
S Vats, S Singh, G Kala, R Tarar… - Journal of Discrete …, 2021 - Taylor & Francis
For decades, tuberculosis (TB) is an unavoidable lung disease and epidemic for several
developing nations. It proceeds to be the main cause of demises worldwide. It is because of …
developing nations. It proceeds to be the main cause of demises worldwide. It is because of …
[HTML][HTML] A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers
Recently, the number of artificial intelligence powered computer-aided detection (CAD)
products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) …
products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) …