Deep Metric Learning by Exploring Confusing Triplet Embeddings for COVID-19 Medical Images Diagnosis.
Tongtong YuanLingmei DongBo LiuJialiang HuangChuangbai XiaoPublished in: Healthcare AI and COVID-19 Workshop (2022)
Keyphrases
- medical images
- metric learning
- medical diagnosis
- dimensionality reduction
- distance metric
- distance metric learning
- medical imaging
- anatomical structures
- semi supervised
- pairwise
- computer aided diagnosis
- learning tasks
- low dimensional
- clinical practice
- mr images
- magnetic resonance
- medical image analysis
- distance function
- nearest neighbor classification
- manifold learning
- multi task
- feature space
- imaging modalities
- distance measure
- high dimensional data
- high dimensional
- unsupervised learning
- data points
- mahalanobis metric
- image processing
- euclidean space
- principal component analysis
- multi class
- feature extraction
- nonlinear dimensionality reduction
- feature selection
- data mining
- neural network