A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
Ying RenMin-Yu TsaiLiyuan ChenJing WangShulong LiYufei LiuXun JiaChenyang ShenPublished in: Int. J. Comput. Assist. Radiol. Surg. (2020)
Keyphrases
- manifold learning
- lung nodules
- ct images
- dimension reduction
- feature extraction
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- computed tomography
- x ray images
- medical images
- lung cancer
- data sets
- classification accuracy
- high dimensional
- image classification
- feature space
- decision trees
- text classification
- support vector
- support vector machine svm
- pattern recognition
- sparse representation
- preprocessing
- machine learning
- principal component analysis
- high dimensional data
- model selection
- medical imaging
- feature set
- image processing
- computer vision
- support vector machine