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Sherry Ruan
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PhD in Computer Science at Stanford
PhD in Computer Science at Stanford

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I'm very excited about the work our group (g.co/brain) is doing in various areas of medical imaging. Today, we published a preprint of a paper titled "Detecting Cancer Metastases on Gigapixel Pathology Images" by Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Greg Corrado, Jason D. Hipp, Lily Peng, and Martin C. Stumpe.

Some key statistics from the paper used to evaluate the effectiveness of this work:

Tumor localization score (FROC): ("find all the tumors")
0.89 (our model)
0.73 (human pathologists with infinite time)

Sensitivity at 8 false positives:
0.92 (our model)
0.73 (human pathologists with infinite time)

(It's also worth point out that Yun Liu is a member of the Google Brain Residency program: g.co/brainresidency)

This work follows on our earlier work on detection of diabetic retinopathy in retinal images.

Pathology blog post: https://research.googleblog.com/2017/03/assisting-pathologists-in-detecting.html
Paper preprint:
https://drive.google.com/file/d/0B1T58bZ5vYa-ZjlSRmIyc3M3MTQ/view

Earlier blog post on diabetic retinopathy work: https://research.googleblog.com/2016/11/deep-learning-for-detection-of-diabetic.html

Edit: update paper preprint link to different URL (but same content)
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