Using the Concept of Generative Adversarial Network (GAN) to Strengthen the Classification Performance for X-ray Images of Small Samples.
Chih-Hung JenShu-Kai S. FanKun-Mu LuChing-Wen HuangJu-Ling HsiaoYu-Zhi ZhengYi-Jun CaiPublished in: ICMHI (2023)
Keyphrases
- small samples
- x ray images
- x ray
- lung nodules
- sample size
- model selection
- medical images
- feature selection
- classification accuracy
- accurate models
- feature vectors
- computer aided surgery
- decision trees
- feature extraction
- clinical data sets
- neural network
- high accuracy
- support vector machine
- feature space
- support vector
- benchmark datasets
- high quality
- cross validation
- machine learning methods
- classification models
- single view
- similarity measure
- data mining