Authors
1
π΄π π ππ π‘πππ‘ ππππππ π ππ π·πππππ‘ππππ‘ ππ πΌπππππππ‘πππ πππβππππππ¦πΈππ π€πππ πΈππππππππππ πΆππππππ
2
π΄π π ππ π‘πππ‘ ππππππ π ππ ππ
π πΌππ π‘ππ‘π’π‘π ππ πππππππ πππ πππβππππππ¦ Chennai
3
ππ‘π’ππππ‘, π·πππππ‘ππππ‘ ππ πΌπππππππ‘πππ πππβππππππ¦ πΈππ π€πππ πΈππππππππππ πΆππππππ
,
Document Type : Research Article
Abstract
Tuberculosis is a contagious syndrome that leads to death Worldwide. In majority of the developing countries, the access to the diagnostic tool and the test usage is relatively poor. Now the recent advancement in the field of Artificial Intelligence may help them to fill this technology gap. Computer Aided Detection and Diagnosis helps in diagnosing the diseases through some clinical symptoms as well as X-ray images of the patients. Nowadays many strategies are formulated to increase the classification accuracy of tuberculosis diagnosis using AI and Deep Learning approaches. Our survey paper, focus to describe the wide AI and deep learning approaches employed in the diagnosis of tuberculosis.
)