Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data.
Filippo Maria CastelliMatteo RoffilliGiacomo MazzamutoIrene CostantiniLudovico SilvestriFrancesco Saverio PavonePublished in: CoRR (2020)
Keyphrases
- semantic segmentation
- fluorescence microscopy
- street scenes
- image set
- label transfer
- weakly supervised
- superpixels
- conditional random fields
- training set
- scene classification
- image sequences
- training examples
- object categories
- image understanding
- pascal voc
- image registration
- object classes
- sparse representation
- training samples
- object detection
- feature space
- machine learning
- image processing