A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
M Harris, A Qi, L Jeagal, N Torabi, D Menzies… - PloS one, 2019 - journals.plos.org
We undertook a systematic review of the diagnostic accuracy of artificial intelligence-based
software for identification of radiologic abnormalities (computer-aided detection, or CAD) …
software for identification of radiologic abnormalities (computer-aided detection, or CAD) …
AI-based radiodiagnosis using chest X-rays: A review
Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
Deep pre-trained networks as a feature extractor with XGBoost to detect tuberculosis from chest X-ray
M Rahman, Y Cao, X Sun, B Li, Y Hao - Computers & Electrical Engineering, 2021 - Elsevier
Pulmonary Tuberculosis is a plague caused by Mycobacterium tuberculosis or Tubercle
bacillus, which kills 1.8 million people worldwide. Tuberculosis is among the top 10 deadly …
bacillus, which kills 1.8 million people worldwide. Tuberculosis is among the top 10 deadly …
Uncertainty assisted robust tuberculosis identification with bayesian convolutional neural networks
Tuberculosis (TB) is an infectious disease that can lead towards death if left untreated. TB
detection involves extraction of complex TB manifestation features such as lung cavity, air …
detection involves extraction of complex TB manifestation features such as lung cavity, air …
Hydravit: Adaptive multi-branch transformer for multi-label disease classification from chest X-ray images
Chest X-ray is an essential diagnostic tool in the identification of chest diseases given its
high sensitivity to pathological abnormalities in the lungs. However, image-driven diagnosis …
high sensitivity to pathological abnormalities in the lungs. However, image-driven diagnosis …
[HTML][HTML] Comprehensive computer-aided decision support framework to diagnose tuberculosis from chest X-ray images: data mining study
Background: Tuberculosis (TB) is one of the most infectious diseases that can be fatal. Its
early diagnosis and treatment can significantly reduce the mortality rate. In the literature …
early diagnosis and treatment can significantly reduce the mortality rate. In the literature …
[HTML][HTML] Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images
Tuberculosis is an infectious disease that mainly affects the lung tissues. Therefore, chest X-
ray imaging can be very useful to diagnose and to understand the evolution of the …
ray imaging can be very useful to diagnose and to understand the evolution of the …
Analysis of tuberculosis in chest radiographs for computerized diagnosis using bag of keypoint features
S Govindarajan, R Swaminathan - Journal of medical systems, 2019 - Springer
Chest radiography is the most preferred non-invasive imaging technique for early diagnosis
of Tuberculosis (TB). However, lack of radiological expertise in TB detection leads to …
of Tuberculosis (TB). However, lack of radiological expertise in TB detection leads to …
A deep learning approach for the classification of TB from NIH CXR dataset
In this research, a novel customized deep learning model is proposed to detect Tuberculosis
(TB) from chest X‐rays (CXR). The model is utilized for three experimentations:(i) …
(TB) from chest X‐rays (CXR). The model is utilized for three experimentations:(i) …
A semantic contour based segmentation of lungs from chest x‐rays for the classification of tuberculosis using Naïve Bayes classifier
Tuberculosis (TB) is an infectious disease that primarily affects the lungs. If the TB is left
undiagnosed in its early stage, it may affect other body parts leading to sudden death. A …
undiagnosed in its early stage, it may affect other body parts leading to sudden death. A …