Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.
Naga Raju GudheVeli-Matti KosmaHamid BehravanArto MannermaaPublished in: BMC Bioinform. (2022)
Keyphrases
- deep learning
- histopathology images
- microscopic images
- microscopy images
- segmentation method
- unsupervised learning
- unsupervised feature learning
- shape prior
- white blood cells
- machine learning
- image segmentation
- level set
- deep architectures
- segmentation algorithm
- medical images
- mental models
- cell nuclei
- natural language processing
- image processing
- multiscale
- bayesian networks
- learning algorithm
- object detection
- energy function
- graph cuts
- maximum likelihood
- co occurrence