Abstract:
Two or more chemical dyes stain most whole-slide histological images. Slide stain separation or color deconvolution is essential in digital pathology. This paper formulates the Bayesian blind color deconvolution problem.
From a multi-stained histological image, our model considers spatial relations among concentration image pixels and similarity between a reference color-vector matrix and the estimated one.
Three efficient blind color deconvolution methods using Variational Bayes inference estimate all model parameters automatically. The proposed approach outperformed classical and state-of-the-art color deconvolution algorithms on real images.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
