3 research outputs found
Accelerating Sensitivity Analysis in Microscopy Image Segmentation Workflows
With the increasingly availability of digital microscopy imagery equipments
there is a demand for efficient execution of whole slide tissue image
applications. Through the process of sensitivity analysis it is possible to
improve the output quality of such applications, and thus, improve the desired
analysis quality. Due to the high computational cost of such analyses and the
recurrent nature of executed tasks from sensitivity analysis methods (i.e.,
reexecution of tasks), the opportunity for computation reuse arises. By
performing computation reuse we can optimize the run time of sensitivity
analysis applications. This work focuses then on finding new ways to take
advantage of computation reuse opportunities on multiple task abstraction
levels. This is done by presenting the coarse-grain merging strategy and the
new fine-grain merging algorithms, implemented on top of the Region Templates
Framework.Comment: 44 page