Prognosis, Response to Therapy, and Molecular Profiling of Cancer by Computerized Analysis of Digital Cytology and Histology Images
Grant Amount: NIS 1.4 million
About the Project
The researcher will explore the use of advanced machine learning image analysis techniques for the exploration of information hidden in histopathology in order to classify the type of hormonal receptors from hematoxilin and eosin staining of the specific type of cancer. The team’s early results on tissue micro arrays demonstrate the feasibility to estimate estrogen and progesterone receptors without the need for immunohistochemistry in breast cancer. If successful, the results of the study will allow for personalized optimized treatment, efficiently and accurately. 
Research Team
Prof. Ron Kimmel
Computer Science, Technion
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