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Man vs. Machine?


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A NCI scientist analyzes data to explore how inherited genetic variation contributes to cancer susceptibility and outcomes.

Deep learning computers in the diagnostic imaging lab at Case Western Reserve University routinely outperform their human counterparts in diagnosing heart failure and detecting cancer.

Credit: National Cancer Institute

Deep learning computers at Case Western Reserve University's diagnostic imaging laboratory routinely outperform humans in diagnosing heart failure and detecting cancer.

The U.S. National Cancer Institute has provided Anant Madabhushi's team at Case Western's Center for Computational Imaging and Personalized Diagnostics more than $9.5 million since 2016 from to create computational tools for analysis of digital pathology images of cancers, in order to identify patients that could forego aggressive radiotherapy or chemotherapy.

The diagnostic imaging computers can process hundreds of slides of tissue samples in the amount of time a pathologist spends on a single slide.

Madabhushi says pathologists and radiologists need decision-support tools to increase their efficiency and better serve patients, especially in places with limited resources.

From The Daily, Case Western Reserve University
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