Tuberculosis disease diagnosis based on an optimized machine learning model
Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …
collaborative nature of the diagnostic process, computer technology provides important …
[HTML][HTML] Pre-trained convolutional neural networks as feature extractors for tuberculosis detection
UK Lopes, JF Valiati - Computers in biology and medicine, 2017 - Elsevier
It is estimated that in 2015, approximately 1.8 million people infected by tuberculosis died,
most of them in developing countries. Many of those deaths could have been prevented if …
most of them in developing countries. Many of those deaths could have been prevented if …
Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images
S Lopez-Garnier, P Sheen, M Zimic - PloS one, 2019 - journals.plos.org
Tuberculosis is an infectious disease that causes ill health and death in millions of people
each year worldwide. Timely diagnosis and treatment is key to full patient recovery. The …
each year worldwide. Timely diagnosis and treatment is key to full patient recovery. The …
An ensemble algorithm based on deep learning for tuberculosis classification
In the past decades the field of Artificial Intelligence, and specially the Machine Learning
(ML) research area, has undergone a great expansion. This has been allowed for the …
(ML) research area, has undergone a great expansion. This has been allowed for the …
Application of a convolutional neural network using transfer learning for tuberculosis detection
Application of neural networks for image classification has significantly increased prediction
accuracy rates. One area where neural networks could perform well includes classification …
accuracy rates. One area where neural networks could perform well includes classification …
Tuberculosis (TB) detection system using deep neural networks
R Dinesh Jackson Samuel, B Rajesh Kanna - Neural Computing and …, 2019 - Springer
Microscopy is a rapid diagnosis method for many infectious diseases like tuberculosis (TB).
In TB bacilli identification, specimens are stained using Ziehl–Neelsen or Auramine dye and …
In TB bacilli identification, specimens are stained using Ziehl–Neelsen or Auramine dye and …
Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning
Tuberculosis (TB) caused by Mycobacterium tuberculosis is a contagious disease which is
among the top deadly diseases in the world. Research in Medical Imaging has been done to …
among the top deadly diseases in the world. Research in Medical Imaging has been done to …
An optimized fuzzy ensemble of convolutional neural networks for detecting tuberculosis from Chest X-ray images
Early detection of Tuberculosis or TB can help in mitigating the chances of affecting the other
body parts like the kidney, spine and brain, thereby reducing the death rate due to this …
body parts like the kidney, spine and brain, thereby reducing the death rate due to this …
Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
A novel approach for tuberculosis screening based on deep convolutional neural networks
Tuberculosis (TB) is one of the major global health threats especially in developing
countries. Although newly diagnosed TB patients can be recovered with high cure rate …
countries. Although newly diagnosed TB patients can be recovered with high cure rate …