Leveraging random forests for interactive exploration of large histological images.
Peter L, Mateus D, Chatelain P, Schworm N, Stangl S, Multhoff G, Navab N (2014)
Publication Type: Conference contribution
Publication year: 2014
Publisher: Springer Verlag
Book Volume: 17
Pages Range: 1-8
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: USA
Journal Issue: Pt 1
ISBN: 9783319104034
DOI: 10.1007/978-3-319-10404-1_1
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 each region suggestion, the user selects among several options a rough estimate of the true amount of foreground pixels in this region. From these one-click inputs, the region scoring function is updated in real time using an online gradient descent procedure, which corrects on-the-fly the shortcomings of the initial model and adapts future suggestions accordingly. Experimental validation is conducted for extramedullary hematopoesis localization and demonstrates the practical feasibility of the procedure as well as the benefit of the online adaptation strategy. © 2014 Springer International Publishing.
Involved external institutions
Germany (DE)How to cite
APA:
Peter, L., Mateus, D., Chatelain, P., Schworm, N., Stangl, S., Multhoff, G., & Navab, N. (2014). Leveraging random forests for interactive exploration of large histological images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 1-8). USA: Springer Verlag.
MLA:
Peter, Loïc, et al. "Leveraging random forests for interactive exploration of large histological images." Proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, USA Springer Verlag, 2014. 1-8.
BibTeX: Download