Instance Segmentation of Densely Packed Cells Using a Hybrid Model of U-Net and Mask R-CNN.
Tomasz K. KonopczynskiRon HeimanPiotr WoznickiPawel GniewekMarie-Cécilia DuvernoyOskar HallatschekJürgen HesserPublished in: ICAISC (1) (2020)
Keyphrases
- hybrid model
- densely packed
- artificial neural networks
- conveyor belt
- image segmentation
- segmentation algorithm
- hybrid models
- fluorescence microscopy images
- microscope images
- back propagation neural network
- level set
- microscopy images
- segmentation method
- region growing
- support vector regression
- multiscale
- support vector machine svm
- forecasting accuracy
- cell segmentation
- object segmentation
- medical images
- image analysis
- bounding box
- cell nuclei
- automatic segmentation
- neural network
- short term
- edge detection
- genetic algorithm