Data Representations for Segmentation of Vascular Structures Using Convolutional Neural Networks with U-Net Architecture.
Lennart BargstenMareike WendebourgAlexander SchlaeferPublished in: EMBC (2019)
Keyphrases
- data representations
- convolutional neural networks
- data representation
- vessel segmentation
- segmentation method
- image segmentation
- segmentation algorithm
- convolutional network
- query processing
- similarity search
- databases
- xml documents
- relational databases
- multiscale
- blood vessels
- retinal images
- pattern matching
- image regions
- query language
- neural network