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Computer-aided detection in chest radiography based on artificial intelligence: a survey
C Qin, D Yao, Y Shi, Z Song - Biomedical engineering online, 2018 - Springer
As the most common examination tool in medical practice, chest radiography has important
clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease …
clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease …
Artificial intelligence techniques to predict the airway disorders illness: a systematic review
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …
It is also considered one of the foremost causes of death all around the globe by 2030 …
Abnormality detection and localization in chest x-rays using deep convolutional neural networks
Chest X-Rays (CXRs) are widely used for diagnosing abnormalities in the heart and lung
area. Automatically detecting these abnormalities with high accuracy could greatly enhance …
area. Automatically detecting these abnormalities with high accuracy could greatly enhance …
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 …
Artificial intelligence in medical image processing for airway diseases
Artificial intelligence is the most contentious issue in diagnostic and therapeutic medical
imaging research today. Numerous artificial intelligence (AI)-based architectures have been …
imaging research today. Numerous artificial intelligence (AI)-based architectures have been …
The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection
COVID-19 is a novel virus, which has a fast spreading rate, and now it is seen all around the
world. The case and death numbers are increasing day by day. Some tests have been used …
world. The case and death numbers are increasing day by day. Some tests have been used …
[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 …
Exploiting cascaded ensemble of features for the detection of tuberculosis using chest radiographs
Tuberculosis (TB) is a communicable disease that is one of the top 10 causes of death
worldwide according to the World Health Organization. Hence, Early detection of …
worldwide according to the World Health Organization. Hence, Early detection of …
Diagnosis of Pulmonary Edema and Covid-19 from CT slices using squirrel search algorithm, support vector machine and back propagation neural network
Abstract A Computer Aided Diagnosis (CAD) framework to diagnose Pulmonary Edema (PE)
and covid-19 from the chest Computed Tomography (CT) slices were developed and …
and covid-19 from the chest Computed Tomography (CT) slices were developed and …
Generation of novel synthetic portable chest x-ray images for automatic covid-19 screening
The diagnosis and the study of the evolution of COVID-19 is crucial to tackle the challenge
that this disease represents for healthcare services. Chest x-ray imaging allows us to …
that this disease represents for healthcare services. Chest x-ray imaging allows us to …