Thirumoorthi, C (2023) 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). 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), 22 (2). pp. 261-272. ISSN 0975-3303

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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.

Item Type: Article
Uncontrolled Keywords: CT lung cancer images, Cancer detection, Image Compression, Image processing, Medical-image analysis
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 17 May 2024 05:50
Last Modified: 17 May 2024 05:50
URI: http://ir.psgcas.ac.in/id/eprint/2152

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