Lung Cancer Classification Using Squeeze and Excitation Convolutional Neural Networks with Grad Cam++ Class Activation Function.
Eali Stephen Neal JoshuaDebnath BhattacharyyaMidhun ChakkravarthyHye-Jin KimPublished in: Traitement du Signal (2021)
Keyphrases
- lung cancer
- activation function
- convolutional neural networks
- cancer diagnosis
- class labels
- survival prediction
- classification accuracy
- pattern recognition
- classification algorithm
- decision trees
- training phase
- machine learning methods
- feed forward
- neural network
- hidden layer
- feature vectors
- artificial neural networks
- machine learning
- feature extraction
- machine learning algorithms
- support vector machine
- feature space
- training data
- feed forward neural networks
- data sets
- image processing
- feedforward neural networks
- image segmentation
- multi layer perceptron
- learning rate
- high dimensional
- back propagation