DRI-UNet: dense residual-inception UNet for nuclei identification in microscopy cell images.
Ajay SharmaPramod Kumar MishraPublished in: Neural Comput. Appl. (2023)
Keyphrases
- microscopy images
- cell nuclei
- microscopic images
- image analysis
- confocal images
- cell segmentation
- image classification
- ground truth
- microscope images
- cancer cells
- image features
- multi channel
- automated analysis
- input image
- image data
- segmentation method
- low contrast
- dense optical flow estimation
- edge detection
- image database
- image matching
- white blood cells
- fluorescence microscopy images
- three dimensional
- electron microscopy
- wide baseline
- image collections
- image registration
- image retrieval
- nonrigid registration
- watershed transform
- quantitative analysis
- test images
- image regions
- segmentation algorithm
- cell division
- cell nucleus
- object recognition
- face recognition
- phase contrast microscopy
- image segmentation