Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
Daniel Franco-BarrancoJulio Pastor-TronchAitor Gonzalez-MarfilArrate Muñoz-BarrutiaIgnacio Arganda-CarrerasPublished in: CoRR (2022)
Keyphrases
- domain adaptation
- deep learning
- unsupervised learning
- image segmentation
- semi supervised
- semi supervised learning
- multiple sources
- cross domain
- machine learning
- labeled data
- segmentation algorithm
- expectation maximization
- segmentation method
- transfer learning
- document classification
- weakly supervised
- test data
- sentiment classification
- multiscale
- maximum likelihood
- object segmentation
- unlabeled data
- reinforcement learning
- information retrieval
- computer vision
- feature selection
- training samples
- generative model
- data points
- probabilistic model
- object recognition
- bayesian networks
- three dimensional
- e learning