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Machine Learning for Prediction of Lung Cancer

Machine Learning for Prediction of Lung Cancer

Nikita Banerjee, Subhalaxmi Das
Copyright: © 2021 |Pages: 26
ISBN13: 9781799850717|ISBN10: 1799850714|EISBN13: 9781799850724
DOI: 10.4018/978-1-7998-5071-7.ch005
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MLA

Banerjee, Nikita, and Subhalaxmi Das. "Machine Learning for Prediction of Lung Cancer." Deep Learning Applications in Medical Imaging, edited by Sanjay Saxena and Sudip Paul, IGI Global, 2021, pp. 114-139. https://doi.org/10.4018/978-1-7998-5071-7.ch005

APA

Banerjee, N. & Das, S. (2021). Machine Learning for Prediction of Lung Cancer. In S. Saxena & S. Paul (Eds.), Deep Learning Applications in Medical Imaging (pp. 114-139). IGI Global. https://doi.org/10.4018/978-1-7998-5071-7.ch005

Chicago

Banerjee, Nikita, and Subhalaxmi Das. "Machine Learning for Prediction of Lung Cancer." In Deep Learning Applications in Medical Imaging, edited by Sanjay Saxena and Sudip Paul, 114-139. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5071-7.ch005

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Abstract

This work is focused on lung cancer prediction using machine learning technique. Lung cancer is one of the widespread diseases due to the growth of irregular cell in both the lungs as a result of which this irregular cell starts growing into tumour, and this tumour can be cancerous as well as non-cancerous. In the traditional approach CT scan images has been used based on the report image segmentation has been done to remove the noise so that a clear picture can be generated to detect the location of tumor. Once the location is known then classification or clustering approach can be used to predict the stage of cancer. Previously supervised machine learning algorithm has been used to predict lung cancer. In this work a prediction model is proposed that is based on the median filter, watershed segmentation, and then feature extraction has done like texture and region. And on the extracted feature classification technique was applied for prediction of cancer.

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