Sparsity Constrained Convolutional Regression
Sparsity Constrained Convolutional Regression is a machine learning algorithm that was initially developed for the segmentation of nuclear regions in tissue histology.
This project contains the source code (matlab) for Sparsity Constrained Convolutional Regression that is described in the publication as follows,
- Y. Zhou, H. Chang†, K. E. Barner and B. Parvin†. "Nuclei Segmentation via Sparsity Constrained Convoluational Regression." IEEE International Symposium on Biomedical Imaging (ISBI 2015), pp. 1284-1287, Brooklyn, NY, U.S., April 2015. († Co-Corresponding Author) (Oral Presentation)
It provides API functions, examplar data and a demo function, with which the learnt fiter banks and example of segmentation are illustrated as follows,
And the decision function of SCCR is illustrated as follows,