CT Intensity Segmentation of Lungs
2nd IEEE International Conference on Intelligent Technologies, CONIT 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2029210
ABSTRACT
The early diagnosis and treatment of lung diseases is a very critical procedure and it requires the use of Computed Tomography (CT) imaging for the segmentation of lungs. Segmentation of the lung helps in the analysis of the lesions. The project proposes a CT lung and vessel segmentation model without any labels which is based on medical image processing using Python. This would assist the medical practitioners and scientists who are working in the field of CT intensity segmentation of lungs. It would make the diagnosis process easier and more convenient for patients, especially in pandemic situations like COVID. © 2022 IEEE.
Area-Wise Detection; CT Intensity; Lung Contours and Vessels Overlayed; Python; Segmentation and Enhancement; Segmentation of Lungs; Web-App - Data Visualization; Biological organs; Computerized tomography; Data visualization; Diagnosis; High level languages; Image segmentation; Medical imaging; Computed tomography intensity; Early diagnosis; Lung contour and vessel overlayed; Lung segmentation; Segmentation of lung; Tomography imaging; Web App
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd IEEE International Conference on Intelligent Technologies, CONIT 2022
Year:
2022
Document Type:
Article
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