  Among various medical imaging tools, chest radiographs are the most important
and widely used diagnostic tool for detection of thoracic pathologies. Research
is being carried out in order to propose robust automatic diagnostic tool for
detection of pathologies from chest radiographs. Artificial Intelligence
techniques especially deep learning methodologies have found to be giving
promising results in automating the field of medicine. Lot of research has been
done for automatic and fast detection of pneumothorax from chest radiographs
while proposing several frameworks based on artificial intelligence and machine
learning techniques. This study summarizes the existing literature for the
automatic detection of pneumothorax from chest x-rays along with describing the
available chest radiographs datasets. The comparative analysis of the
literature is also provided in terms of goodness. Limitations of the existing
literature along with the research gaps is also given for further
investigation. The paper provides a brief overview of the present work for
pneumothorax detection for helping the researchers in selection of optimal
approach for future research.
