Article 2AQ1D Deep Learning in HPC – Using Data to Go Far Beyond Automation in Pathology

Deep Learning in HPC – Using Data to Go Far Beyond Automation in Pathology

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#2AQ1D)
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Dr. Amit Seti from IIT-Gauwhati presented this talk at GTCx in India. "This talk will cover how medical imaging data can be used to train computer vision systems that automate diagnostic analysis in current clinical practice. Not only that, with more creative use of data, we can go even beyond that to predict outcome of specific treatment for individual patients. We will cover results from prostate and breast cancers to show that a future is not too far where algorithms will become a necessary set of tools in a pathologist's toolbox."

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