Lung Cancer Detection Using Machine Learning

Anusha SUG Student, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore, IndiaChandrakumarUG Student, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore, IndiaGunashree KUG Student, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore, IndiaSuma NUG Student, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore, IndiaDr. Madhu B KProfessor, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore, India

Vol 6 No 6 (2022): Volume 6, Issue 6, June 2022 | Pages: 222-229

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 27-07-2022

doi Logo doi.org/10.47001/IRJIET/2022.606034

Abstract

Cancer is a disease in which cells in the body grow out of control. When cancer starts in the lungs, it is called lung cancer. Lung cancer begins in the lungs and may spread to lymph nodes or other organs in the body, such as the brain. Cancer from other organs also may spread to the lungs. When cancer cells spread from one organ to another, they are called metastases. Lung cancers usually are grouped into two main types called small cell and non-small cell (including adenocarcinoma and squamous cell carcinoma). These types of lung cancer grow differently and are treated differently. Non-small cell lung cancer is more common than small cell lung cancer. Our project consists of development of a machine learning algorithm to detect cancer using x-ray image.

Keywords

lung disease, cancer detection, machine learning, CNN


Citation of this Article

Anusha S, Chandrakumar, Gunashree K, Suma N, Dr. Madhu B K, “Lung Cancer Detection Using Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 6, pp 222-229, June 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.606034

References
  1. Adam: A Method for Stochastic Optimization, URL https://arxiv.org/abs/1412.6980v8
  2. Analyzing The Papers Behind Facebook’s Computer Vision Approach Adit Deshpande CS Undergraduate UCLA (’19),. URL https://adeshpande3.github.io/Analyzing-the-Papers-Behind-Facebook%27s-Computer-Vision-Approach/
  3. Computer   Vision   -   deep learning. ai, URL https://www.coursera.org/learn/convolutional-neural-networks/lecture/Ob1nR/computer-vision
  4. Data Science Bowl 2017 Kaggle, URL, https://www.kaggle.com/c/data-science-bowl-2017/kernels
  5. Floyd Hub- Deep Learning Platform- Cloud GPU, URL https://www.floydhub.com
  6. Houns field  unit,. URL https://medical-dictionary.thefreedictionary.com/Hounsfield+unit
  7. Hounsfield Scale LITFL Life in the Fast Lane Medical Blog, URL https://lifeinthefastlane.com/funtabulously-frivolous-friday-five-164/screen-shot-2016-10-14-at-11-19-30/
  8. LUNA16 Grand Challenge, URL https://luna16.grand-challenge.org/
  9. Lung cancer: Reduce your risk by quitting smoking, URL http://www.mayoclinic.org/diseases-conditions/lung-cancer/basics/definition/con-20025531
  10. Manifestofor Agile Software Development, URL http://agilemanifesto.org/
  11. Neural Network Foundations, Explained: Activation Function, URL https://www.kdnuggets.com/2017/09/neural-network-foundations-explained-activation-function.html
  12. Object Localization and Detection Artificial Intelligence, URL https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html
  13. Overview of neuron structure and function, URL https://www.khanacademy.org/science/biology/human-biology/neuron-nervous-system/a/overview-of-neuron-structure-and-function
  14. Project Jupyter, URL http://www.jupyter.org
  15. Srensen-Dice similarity coefficient for image segmentation- MATLAB dice-Math Works United Kingdom, URL https://uk.mathworks.com/help/images/ref/dice.html
  16. Tensor Flow, URL https://www.tensorflow.org/
  17. Welcome to Python.org, URL https://www.python.org/
  18. Welcome Flask (A Python Micro frame work), URL http://flask.pocoo.org/