A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images.
Ziheng YangHalim BenhabilesFéryal WindalJérôme FolletAnne-Charlotte LeniereDominique CollardPublished in: MOVI@MICCAI (2022)
Keyphrases
- microscopic images
- coarse to fine
- automated analysis
- microscope images
- cell nuclei
- multiscale
- automated detection
- multiresolution
- hierarchical segmentation
- image registration
- visual analysis
- object detection
- microscopy images
- cross sections
- scale invariant
- data mining
- video analysis
- computer vision
- low contrast
- quantitative analysis