A Detailed Literature Survey and In-depth Analysis of Existing Methods for the Detection of Lung cancer

  • Akshata Saptasagar
  • Rahul Badgujar
  • Atharva Misal
  • Omkar Raskar
Keywords: Diagnosis, Stage Determination, Lung Cancer, Support Vector Machines, Decision trees, Enhanced classifiers, advanced analysis.


There are various existing models which focus on the diagnosis and determination of stages of various cancer and other related diseases. This paper focuses on the diagnosis and stage determination of Lung cancer by compiling various Ml models. This paper proposes a model that will not only diagnose the presence of disease but will also help the medical faculty in knowing the particular stage of the disease. Also, advanced analysis is provided by the models which give a brief overview of the disease and highlights the stakeholders about the curability of this disease. The model uses various algorithms and compiles some of the best-suited algorithms which will provide results with higher accuracy and precision.


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How to Cite
Saptasagar, A., Badgujar, R., Misal, A., & Raskar, O. (2023). A Detailed Literature Survey and In-depth Analysis of Existing Methods for the Detection of Lung cancer. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 9(2), 70-74. https://doi.org/10.33130/AJCT.2023v09i02.012

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