i-manager Publications

A Review on Lungs Disease Detection using Image Processing

Tikendra Sahu*, Aakanksha S. Choubey**

*-** Department of Computer Science and Engineering, Shri Shankaracharya Institute of Engineering and Technology, Bhilai, Chhattisgarh, India.

Periodicity:December - February'2022
DOI : https://doi.org/10.26634/jit.11.1.18536

Abstract

The global fitness company estimates that by 2030, Chronic Obstructive Pulmonary Disease (COPD) will be the third leading cause of death in the world. Computerized Tomography (CT) of the lungs includes a number of structures that may be important in the prognosis and evaluation of lung disease. CT images of the lungs show a section of the chest that constitutes a large number of systems, including blood vessels, arteries, respiratory vessels, pulmonary pleura, and parenchyma, each with its own information. For this reason, the phasing of the lung systems is very important for the analysis and diagnosis of lung diseases. Segmentation is an important step in the photographic structure for the correct diagnosis of lung disease, as it delimits lung systems on CT images. Of course, imaging strategies can aid in computer analysis if the lung area is properly obtained. After the segmentation procedure, an automatic technique is used to identify possible diseases on CT scans of the lungs so the radiologist can focus on the prognosis of the patient. Several studies have shown promising results in detecting violations.

Keywords

Lungs Disease, Image Processing, Detection, Computerized Tomography, Chronic Obstructive Pulmonary Disease.

How to Cite this Article?

Sahu, T., and Choubey, A. S. (2022). A Review on Lungs Disease Detection using Image Processing. i-manager’s Journal on Information Technology, 11(1), 48-53. https://doi.org/10.26634/jit.11.1.18536

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A Review on Lungs Disease Detection using Image Processing

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