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 PavonePublished in: LOD (1) (2020)
Keyphrases
- semantic segmentation
- fluorescence microscopy
- street scenes
- conditional random fields
- superpixels
- scene classification
- label transfer
- weakly supervised
- image set
- object categories
- image sequences
- pascal voc
- image understanding
- object class
- object classes
- supervised learning
- image registration
- training set
- three dimensional