Lung Cancer Detection: A Classification Approach Utilizing Oversampling and Support Vector Machines.
Adolfo Jara-GavilanesVladimir Robles-BykbaevPublished in: SN Comput. Sci. (2024)
Keyphrases
- support vector
- lung cancer
- automated detection
- classification accuracy
- cancer diagnosis
- survival prediction
- support vector machine
- feature selection
- lymph nodes
- lung nodules
- correct classification
- large margin classifiers
- machine learning
- false alarms
- early detection
- logistic regression
- support vector machine svm
- automatic detection
- decision trees
- image processing