LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module.
Shweta TyagiSanjay N. TalbarPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- lung cancer
- survival prediction
- convolutional neural networks
- cancer diagnosis
- lung nodules
- early detection
- classification accuracy
- support vector machine
- support vector machine svm
- automated detection
- machine learning
- decision trees
- diagnosis of lung cancer
- feature extraction
- correct classification
- anomaly detection