A fully automated end-to-end process for fluorescence microscopy images of yeast cells: From segmentation to detection and classification.
Asmaa HajaLambert R. B. SchomakerPublished in: CoRR (2021)
Keyphrases
- end to end
- fluorescence microscopy images
- fully automated
- fully automatic
- text localization and recognition
- visual inspection
- manual segmentation
- pattern recognition
- cell nuclei
- mutual information
- medical images
- congestion control
- feature selection
- region of interest
- microscopy images
- semi automatic
- level set
- image analysis
- multiscale
- image segmentation