Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation.
Florian KrompLukas FischerEva BozsakyInge AmbrosWolfgang DoerrSabine Taschner-MandlPeter AmbrosAllan HanburyPublished in: CoRR (2019)
Keyphrases
- deep learning
- image segmentation
- unsupervised feature learning
- unsupervised learning
- machine learning
- weakly supervised
- multiscale
- deformable models
- graph cuts
- mental models
- image processing
- restricted boltzmann machine
- deep architectures
- markov random field
- active learning
- active contours
- computer vision
- model selection
- reinforcement learning
- training data
- learning algorithm