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ML Classification-Based Detection of Cancerous Nodules from Radiology Images


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1 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, India

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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.

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.

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  • ML Classification-Based Detection of Cancerous Nodules from Radiology Images

Abstract Views: 236  |  PDF Views: 0

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, India
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, India

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.

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.




DOI: https://doi.org/10.17010/ijcs%2F2019%2Fv4%2Fi2%2F144271