Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification.
Yuning HuangJingchen ZouLanxi MengXin YueQing ZhaoJianqiang LiChangwei SongGabriel JimenezShaowu LiGuanghui FuPublished in: CoRR (2024)
Keyphrases
- medical imaging
- comparative analysis
- learning models
- classification models
- medical images
- pre trained
- machine learning algorithms
- machine learning
- x ray
- image registration
- image analysis
- image segmentation
- image processing
- decision trees
- semi supervised learning
- supervised learning
- computer vision
- support vector
- learning tasks
- feature vectors
- pattern recognition
- image classification
- classification accuracy
- training samples
- control signals
- feature set
- remote sensing
- class labels
- loss function
- support vector machine
- training set
- feature space
- training data
- learning algorithm