Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach.
Xiaoli WuHao WuShouliang MiaoGuoquan CaoHuang SuJie PanYilun XuPublished in: BMC Medical Informatics Decis. Mak. (2024)
Keyphrases
- ct images
- binary classification
- deep learning
- prediction accuracy
- multi class
- medical images
- learning problems
- ensemble methods
- medical imaging
- support vector
- cost sensitive
- machine learning
- support vector machine
- unsupervised learning
- region of interest
- generalization error
- multi label
- weakly supervised
- class imbalance
- cell nuclei
- neural network
- semi supervised learning
- model selection
- d objects
- high dimensional
- pattern recognition