A Diagnostic Study of Content-Based Image Retrieval Technique for Studying the CT Images of Lung Nodules and Prediction of Lung Cancer as a Biometric Tool-Reference-Cited by-同舟云学术

A Diagnostic Study of Content-Based Image Retrieval Technique for Studying the CT Images of Lung Nodules and Prediction of Lung Cancer as a Biometric Tool

Published:2023-06-30 Issue:2 Volume:11 Page:495-499
ISSN:2347-470X
Container-title:International Journal of Electrical and Electronics Research
language:en
Short-container-title:IJEER

Author:

Dixit Rajeev¹,Kumar Dr. Pankaj²,Ojha Dr. Shashank³

Affiliation:

1. Department of Computer Science, United College of Engineering & Research, Prayagraj; Dr. A.P.J. Abdul Kalam Technical University, Lucknow India

2. Department of Computer Science, Sri Ramswaroop Memorial Group of Professional Colleges Lucknow, University; Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India

3. Department of Computer Science, Guru Shri Gorakshnath Chikitsalaya, Gorakhpur, India

Abstract

Content Based Medical Image Retrieval (CBMIR) can be defined as a digital image search using the contents of the images. CBMIR plays a very important part in medical applications such as retrieving CT images and more accurately diagnosing aberrant lung tissues in CT images. The Content-Based Medical Image Retrieval (CBMIR) method might aid radiotherapists in examining a patient's CT image in order to retrieve comparable pulmonary nodes more precisely by utilizing query nodes. Intending a particular query node, the CBMIR system searches a large chest CT image database for comparable nodes. The prime aim of this research is to evaluate an end-to-end method for developing a CBIR system for lung cancer diagnosis.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

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