Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Aoxiao ZhongXiang LiDufan WuHui RenKyung Sang KimYoung-Gon KimVarun BuchNir NeumarkBernardo BizzoWon Young TakSoo Young ParkYu Rim LeeMin Kyu KangJung Gil ParkByung Seok KimWoo Jin ChungNing GuoIttai DayanMannudeep K. KalraQuanzheng LiPublished in: Medical Image Anal. (2021)
Keyphrases
- metric learning
- clinical applications
- x ray
- intraoperative
- x ray images
- medical images
- chest radiographs
- anatomical structures
- distance metric learning
- distance metric
- medical imaging
- pairwise
- imaging modalities
- dimensionality reduction
- semi supervised
- image retrieval
- learning tasks
- magnetic resonance
- distance function
- multi task
- feature space
- mahalanobis metric
- deformable models
- ct scans
- medical image analysis
- mr images
- semi supervised learning
- multi class
- medical data
- computed tomography
- ct images
- region of interest
- data mining
- supervised learning
- feature extraction
- computer vision