Machine Learning Algorithm for Predicting and Classification of Lung Cancer
Author : Dr. M Deepa, MP Venkat Vijay, S Sri Ranjani, V Sowmiya and E Tamizhan
Abstract :
Lung cancer has repeatedly shown itself to be one of the most fatal illnesses in the history of mankind. Additionally, it is one of the malignancies that causes the most fatalities and is the most prevalent. Lung illnesses are rising quickly. In India, there are roughly 70,000 instances per year. The illness is frequently asymptomatic in its early stages, making detection practically difficult. Because of this, early cancer identification is crucial to preserving lives. A patient may have a greater chance of recovery and cure with an early diagnosis. Effective cancer detection is greatly aided by technology. On the basis of their findings, several scholars have suggested various methodologies. The goal of this study is to list, debate, contrast, and analyse a number of strategies for classifying and detecting lung cancer in its early stages, as well as numerous methods for picture segmentation and extraction of features.
Keywords :
Lung cancer, computer aided diagnosis, machine learning
