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Document type:
Zeitschriftenaufsatz
Author(s):
Peter, L.; Mateus, D.; Chatelain, P.; Schworm, N.; Stangl, S.; Multhoff, G.; Navab, N.
Title:
Leveraging Random Forests for Interactive Exploration of Large Histological Images
Abstract:
The large size of histological images combined with their very challenging appearance are two main difficulties which considerably complicate their analysis. In this paper, we introduce an interactive strategy leveraging the output of a supervised random forest classifier to guide a user through such large visual data. Starting from a forest-based pixelwise estimate, subregions of the images at hand are automatically ranked and sequentially displayed according to their expected interest. After e...    »
Keywords:
CAMP,MICCAI,Histology,RandomForests,DomainAdaptation,OnlineTransferLearning,MicroscopicImageAnalysis
Journal title:
Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Boston, Massachusetts, United States
Year:
2014
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