Human Hepatocellular Carcinoma Classification from H&E Stained Histopathology Images with 3D Convolutional Neural Networks and Focal Loss Function.
Umut ÇinarRengül Çetin-AtalayYasemin Yardimci ÇetinPublished in: J. Imaging (2023)
Keyphrases
- loss function
- support vector
- histopathology images
- hinge loss
- convolutional neural networks
- pairwise
- learning to rank
- logistic regression
- bayes rule
- classification accuracy
- regularization term
- empirical risk
- risk minimization
- pattern classification
- machine learning
- stochastic gradient descent
- feature selection
- reproducing kernel hilbert space
- benchmark datasets
- support vector machine svm
- model selection
- support vector machine
- feature extraction
- cross validation
- decision function
- text classification
- distance measure
- convex loss functions