Diagnosis and Stage Determination of CT Scanned Images of Lung Cancer using Hybrid model

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Published: Oct 7, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i10s.7694
Keywords:
Diagnosis, Stage Determination, Lung Cancer, Support Vector Machines, Support Vector Regression, advanced analysis

Main Article Content

Sandhya Waghere
Assistant Professor, Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, India
Akshata Saptasagar
Student, Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, India
Rajesh Phursule
Associate Professor, Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, India
Rahul Badgujar
Student, Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, India
Atharva Misal
Student, Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, India
Omkar Raskar
Student, Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, India

Abstract

Varied Machine learning models are developed and are being developed for detecting and diagnosing diseases present globally. One of the unique machine learning models is proposed by the paper where the authors concentrate on combining and providing a single-stop solution as the model will be helping the medical facilities in diagnosing lung Cancer as well as determining the stage severity of the same. An amalgamation of pertinent algorithms will boost the medical processes and will help generate highly accurate results with greater precision.

Article Details

How to Cite
Waghere, S. ., Saptasagar, A. ., Phursule, R. ., Badgujar, R. ., Misal, A. ., & Raskar, O. . (2023). Diagnosis and Stage Determination of CT Scanned Images of Lung Cancer using Hybrid model. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10s), 555–562. https://doi.org/10.17762/ijritcc.v11i10s.7694
Issue
Vol. 11 No. 10s (2023)
Section
Articles

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