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- Title
Analysing CT-Scan Images Towards the Early Detection of Lung Cancer Using Medical Images Based Edge Feature Preserving CT-Scan Medical Image Coder (EZWT - EFPIC).
- Authors
Thirumoorthi, C.; Manikandaprabhu, P.; Praveen Sundar, P. V.
- Abstract
With the current improvements of virtual image processing techniques and scientific technology has received several benefits. Today, all of the scientific diagnostic image processing techniques produce virtual scientific pictures, through which the healthcare specialists analyse and diagnose the abnormality. The frequent view of scientific picture processing might also additionally appear simpler; however, it entails many challenges. As the scientific pics are interconnected with human lives, the laptop aided scientific image processing structures have to be overcautious, if we want to eliminate inaccuracy rates. The utility of medical image processing techniques for the analysis of CT-Scan images similar to lung cancer cells is gaining momentum in current years. This paper discusses the use of a Transform based Edge Feature preserving CT-Scan Medical Image Coder (EZWT - EFPIC) using Computed Tomography (CT) images to help in the early diagnosis of lung cancer. We discuss and explore the design and significance of an EZWT-EFPIC-CT image processed model in cancer diagnosis.
- Subjects
COMPUTED tomography; LUNG cancer; IMAGE processing; FEATURE selection; IMAGE compression
- Publication
Mapana Journal of Sciences, 2023, Vol 22, p261
- ISSN
0975-3303
- Publication type
Article
- DOI
10.12723/mjs.sp2.14