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An Approach to Recognise Lung Diseases Using Segmentation and Classification Cover

An Approach to Recognise Lung Diseases Using Segmentation and Classification

Measurement Science Review
Volume 23 (2023): Issue 6 (December 2023)
By: J Prabakaran and  P Selvaraj  
Open Access
|Nov 2023

Authors

J Prabakaran

prabakaj@srmist.edu.in

Department of Networking and Communications, Faculty of Engineering and Technology, College of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India

P Selvaraj

selvarap@srmist.edu.in

Department of Computing Technologies, Faculty of Engineering and Technology, College of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India
DOI: https://doi.org/10.2478/msr-2023-0032 | Journal eISSN: 1335-8871
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Language: English
Page range: 254 - 259
Submitted on: May 25, 2023
|
Accepted on: Oct 16, 2023
|
Published on: Nov 17, 2023
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Classification,
segmentation,
COVID,
tuberculosis,
prediction,
pneumonia,
lung cancer
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2023 J Prabakaran, P Selvaraj, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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