FastMRI leverages adversarial training to remove image artifacts

Re:FastMRI leverages adversarial training to remove image ar... by voicedYoda on Tuesday February 25, 2020 @08:16PM (#22419390)

Facebook has absolutely no reason to be doing work with healthcare. Sure they have great computing power and top engineering talent to figure out how to sell more ads, but the trade-off for any educational facility to freely hand over medical data (de-identified or not) is wreckless.

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Re:FastMRI leverages adversarial training to remove image ar... by mikeortman on Tuesday February 25, 2020 @08:51PM (#22419566)

What till you find out about the Google / Ascension partnership.

I trust seasoned talent being paid hundreds of thousands of dollars a year in partnership with equally well paid healthcare professionals over PhD students scraping by on grant dollars, keeping their code and datasets in a private GitHub repo that will never see the light of day except for a citation in research papers of other scholars.

Not trying to be mean, but if Facebook is trying to fix their moral compass with dollars, go for it.

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Re:FastMRI leverages adversarial training to remove image ar... by nradov on Tuesday February 25, 2020 @08:24PM (#22419433)

What exactly is the concern with de-identified medical data? This is common practice in medical research and explicitly allowed under federal law.

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Re:FastMRI leverages adversarial training to remove image ar... by pmiller2 on Tuesday February 25, 2020 @08:42PM (#22419519)

Let's start with how it's very difficult to properly de-identify medical data: https://www.careersinfosecurity.com/patient-data-be-truly-de...

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