Automatic detection and counting of retina cell nuclei using deep learning.
S. M. Hadi HosseiniHao ChenMonica M. JablonskiPublished in: CoRR (2020)
Keyphrases
- automatic detection
- deep learning
- cell nuclei
- automated analysis
- low contrast
- quantitative analysis
- blood vessels
- automated detection
- unsupervised learning
- retinal images
- cancer diagnosis
- machine learning
- microscopy images
- tissue samples
- mental models
- weakly supervised
- watershed transform
- fully automatic
- image data
- training data