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It is increasingly appreciated that the tumor stroma is an integral part of cancer initiation, growth, and progression. Recently it has been shown that the stromal elements of tumors hold prognostic as well as response-predictive information. This work proposes a multi-scale image analysis and machine learning pipeline for epithelial versus stromal tissue identification in images of H&E stained...
Collecting ground-truth or gold standard annotations from expert pathologists for developing histopathology analytic algorithms and computer-aided diagnosis for cancer grading is an expensive and time consuming process. Efficient visualization and annotation tools are needed to enable groundtruthing large whole-slide imagery. KOLAM is our scalable, cross-platform framework for interactive visualization...
The task of automated object tracking and performance assessment in low frame rate, persistent, wide spatial coverage motion imagery is an emerging research domain. The collection of hundreds to tens of thousands of dense trajectories produced by such automatic algorithms along with the subset of manually verified tracks across several coordinate systems require new tools for effective human computer...
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