2 papers
eess.IV2019
Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning
Saima Rathore, Muhammad Aksam Iftikhar, Zissimos Mourelatos
Cancer histology reveals disease progression and associated molecular processes, and contains rich phenotypic information that is predictive of outcome. In this paper, we developed…
eess.IV2019
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma
Saima Rathore, Muhammad A. Iftikhar, Metin N. Gurcan +1
Both radiographic (Rad) imaging, such as multi-parametric magnetic resonance imaging, and digital pathology (Path) images captured from tissue samples are currently acquired as sta…