Different Algorithms for Lung Cancer Detection and Prediction
N. Sudhir Reddy, Velu Khanaa · 2023
In many cases we see the lung cancer play main role for human death. The premature detection of cancer is hampered by the overlapping of malignant cells. To create more effective methods for its prevention, identifying genetic and environmental causes is essential and time is a crucial aspect in identifying anomalies in target photos. The decision tree algorithm is utilized in this study to predict lung cancer, and the key patterns are examined along with their related weights and scores. The Histogram Equalization is make use of for tasks like feature extraction and image preprocessing and a neural network use different classifier that used to determine if the patient is normal or abnormal. Early detection of lung cancer will limit many treatment options, improve survival rates and lower the likelihood of invasive surgery. Therefore, a simple, affordable, and time-saving technology will yield encouraging results for lung cancer screening and prediction.