Machine Learning Research On Breast And Lung Cancer Detection

Authors

  • D Nageswara Rao * Department of Computer Science and Engineering, Chitkara University Institute of engineering and Technology, Chitkara University, Rajpura, Punjab, India

DOI:

https://doi.org/10.59615/ijie.3.1.48

DOR:

https://dorl.net/dor/20.1001.1.27831906.2023.3.1.5.1

Keywords:

Mammogram, Breast, Lung, Cancer, Diagnosis

Abstract

As the diagnosis of these cancer cells at late stages causes greater pain and raises the likelihood of death, the initial-state cancer finding is crucial to giving the patient the proper care and reducing the risk of dying from cancer. The publication offers a chance to research breast and lung cancer detection techniques as well as various algorithms for cancer early detection. With the aid of various image kinds and test results data sets, hybrid approaches are utilized to identify lung and breast cancer based on the size and form of the cells. The basic concept of breast and lung cancer block diagram is also explained in this study, with an emphasis on the difficulties and potential future applications of cancer detection and diagnosis techniques.

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Published

2023-03-13

How to Cite

Rao, D. N. . (2023). Machine Learning Research On Breast And Lung Cancer Detection. International Journal of Innovation in Engineering, 3(1), 48–54. https://doi.org/10.59615/ijie.3.1.48

Issue

Vol. 3 No. 1 (2023): Winter

Section

Original Research

License

Copyright (c) 2023 D Nageswara Rao

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This work is licensed under a Creative Commons Attribution 4.0 International License.