Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture.
Rüdiger SchmitzFrederic MadestaMaximilian NielsenRené WernerThomas RöschPublished in: CoRR (2019)
Keyphrases
- multiscale
- image segmentation
- convolutional neural networks
- image analysis
- convolutional network
- real time
- three dimensional
- tissue samples
- graph cuts
- scale space
- image processing
- natural images
- image representation
- wavelet transform
- management system
- deformable models
- coarse to fine
- boundary detection
- gray level
- software architecture
- level set
- level set method
- grayscale images
- multiple scales
- tissue classification
- edge detection
- active contours
- markov random field