2 papers
cs.CV2018
An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation
Berkay Kanberoglu, Dhritiman Das, Priya Nair +2
Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotro…
cs.CV2013
Kernel Sparse Models for Automated Tumor Segmentation
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan +3
In this paper, we propose sparse coding-based approaches for segmentation of tumor regions from MR images. Sparse coding with data-adapted dictionaries has been successfully employ…