This page presents the implementation of the Context-LSVM model proposed in [1]
for classifying large scale histopathology images represented in a pyramid of different magnification levels.
The proposed classifier encodes the relationship between patches from different magnification levels with structured latent variables
in a latent SVM framework.
The dataset used in this study can be downloaded at the following URL: LINK .
The code and dataset released here are provided "as is" without any implied
warranties for any particular purpose. In no event shall the authors of this site be liable for any damage or
tort arising from the use of this source code, even if we are advised of the possibility of such damage.
This source code is not for commercial use. For commercial interest please contact
Prof. Ghassan Hamarneh.
If you use this code, please cite the following paper:
[1] Contextual Representation of Histopathology Slides for Automatic Ovarian Carcinoma Diagnosis
Aïcha BenTaieb, Hector Li-Chang, David Huntsman, Ghassan Hamarneh
Medical Image Analysis, 2017
DOI: http://dx.doi.org/10.1016/j.media.2017.04.008