Interactive segmentation with Intelligent Scissors
Graphical Models and Image Processing
Linear algebra operators for GPU implementation of numerical algorithms
ACM SIGGRAPH 2003 Papers
Sparse matrix solvers on the GPU: conjugate gradients and multigrid
ACM SIGGRAPH 2003 Papers
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ClearView: An Interactive Context Preserving Hotspot Visualization Technique
IEEE Transactions on Visualization and Computer Graphics
A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Beta-measure for probabilistic segmentation
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Active learning for interactive 3d image segmentation
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Combinatorial Continuous Maximum Flow
SIAM Journal on Imaging Sciences
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A new approach to interactive segmentation based on random walks was recently introduced that shows promise for allowing physicians more flexibility to segment arbitrary objects in an image. This report has two goals: To introduce a novel computational method for applying the random walker algorithm in 2D/3D using the Graphics Processing Unit (GPU) and to provide quantitative validation studies of this algorithm relative to different targets, imaging modalities and interaction strategies.