Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-25T05:46:10.718Z Has data issue: false hasContentIssue false
  • English
  • Français

Computerized Histologic Image Based Risk Predictor (CHIRP): Identifying Disease Aggressiveness Using Sub-visual Image Cues from Image Data

Published online by Cambridge University Press:  25 July 2016

Anant Madabhushi

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Information
Microscopy and Microanalysis , Volume 22 , Supplement S3: Proceedings of Microscopy & Microanalysis 2016 , July 2016 , pp. 1006 - 1007
Copyright
© Microscopy Society of America 2016 

References

References:

[1] Ali, S., et al, Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays (2013).Google Scholar
[2] Lewis, J.S. Jr, et al, Am J Surg Pathol (2014) 38(1) p. 128–137.Google Scholar
[3] Ali, S., Lewis, J. & Madabhushi, A. Spatially Aware Cell Cluster-(SpACCl) Graphs: Predicting Outcome in Oropharyngeal pi 6+ Tumors. Medical Image Computing and Computer-AssistedIntervention -MICCAI2013, K. Moriet al., Editors 2013, (Springer Berlin Heidelberg. p. 412–419.Google Scholar
[4] Lee, G, et al, PLoS One 2014 May 29; 9 (5). e97954 10.1371/journal.pone.0097954. eCollection 2014.Google Scholar