Symmetry Breaking in the U-Net: Hybrid Deep-Learning Multi-Class Segmentation of HeLa Cells in Reflected Light Microscopy Images.
Ali GhaznaviRenata RychtárikováPetr CísarMohammad Mehdi ZiaeiDalibor StysPublished in: Symmetry (2024)
Keyphrases
- microscopy images
- multi class
- deep learning
- symmetry breaking
- multi channel
- cell nuclei
- phase contrast
- confocal images
- support vector machine
- machine learning
- constraint programming
- unsupervised learning
- pairwise
- object detection
- global constraints
- electron microscopy
- weakly supervised
- feature selection
- data sets
- conditional random fields
- level set
- neural network