Detection of tuberculosis bacilli from Ziehl Neelson stained sputum smear images

Sugirtha, G. Evangelin; Murugesan, Gowtham Krishnan; Vinu, Silja

doi:10.1109/icices.2017.8070751

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2023

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“…Ilena, et al [7] used a Using chest x-ray images, a computeraided diagnostic (CAD) system will assist medical professionals in promptly identifying tuberculosis.. This automatic CADx technology assists the physician and radiologist more accurately.…”

Section: Related Workmentioning

confidence: 99%

A Enhanced Approach for Identification of Tuberculosis for Chest X-Ray Image using Machine Learning

G S,

Beevi,

Kumaran

et al. 2023

IJRITCC

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Lungs are the primary organs affected by the infectious illness tuberculosis (TB). Mycobacterium tuberculosis, often known as Mtb, is the bacterium that causes tuberculosis. When a person speaks, spits, coughs, or breathes in, active tuberculosis can quickly spread through the air. Early TB diagnosis takes some time. Early detection of the bacilli allows for straightforward therapy. Chest X-ray images, sputum images, computer-assisted identification, feature selection, neural networks, and active contour technologies are used to diagnose human tuberculosis. Even when several approaches are used in conjunction, a more accurate early TB diagnosis can still be made. Worldwide, this leads to a large number of fatalities. An efficient technology known as the Deep Learning approach is used to diagnose tuberculosis microorganisms. Because this technology outperforms the present methods for early TB diagnosis, Despite the fact that death cannot be prevented, it is possible to lessen its effects.

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Section: Related Workmentioning

confidence: 99%