Impact of Training Data, Ground Truth and Shape Variability in the Deep Learning-Based Semantic Segmentation of HeLa Cells Observed with Electron Microscopy.
Cefa KarabagMauricio Alberto Ortega-RuizConstantino Carlos Reyes-AldasoroPublished in: J. Imaging (2023)
Keyphrases
- electron microscopy
- ground truth
- training data
- weakly supervised
- x ray
- superpixels
- learning algorithm
- training set
- prior knowledge
- training examples
- decision trees
- multiscale
- shape model
- supervised learning
- conditional random fields
- single image
- test images
- information extraction
- relation extraction
- similarity measure
- computer vision