ML Classification-Based Detection of Cancerous Nodules from Radiology Images

Authors

  •   T. K. Senthil Kumar Senior Faculty, Data Science and Machine Learning, MAHE South Bangalore Campus (Manipal ProLearn), 3rd Floor, Salarpuria Symphony, 7, Service Road, Pagathinagar, Electronic City, Bengaluru - 560100, Karnataka
  •   Subhabaha Pal Senior Faculty, Data Science and Machine Learning, MAHE South Bangalore Campus (Manipal ProLearn), 3rd Floor, Salarpuria Symphony, 7, Service Road, Pagathinagar, Electronic City, Bengaluru - 560100, Karnataka

DOI:

https://doi.org/10.17010/ijcs/2019/v4/i2/144271

Keywords:

Cancerous Nodule Detection

, Lung CT Scan, ML Application in Radiology.

Manuscript Received

, December 15, 2018, Revised, January 5, 2019, Accepted, January 10, 2019. Date of Publication, March 6, 2019.

Abstract

The appearance of pulmonary nodule is the early manifestation of lung cancer and early detection from the lung CT scan images leads to better treatment. Machine Learning can help in the detection of cancerous nodules. The present paper gives an overview of the machine learning-based modelling for detection of cancerous pulmonary nodules from CT scan images. The paper discusses the whole process involving transformation of the CT scan image, extraction of the nodules and conversion of these into quantitative form and ultimate fitting of suitable classification model for detection of cancerous pulmonary nodule after labelling the nodules.

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Published

2019-05-01

How to Cite

Senthil Kumar, T. K., & Pal, S. (2019). ML Classification-Based Detection of Cancerous Nodules from Radiology Images. Indian Journal of Computer Science, 4(2), 12–17. https://doi.org/10.17010/ijcs/2019/v4/i2/144271

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