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by joshuamorton 2179 days ago
Generally speaking this isn't super true, the objects are different enough that the same networks aren't best at both.
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Of course, they are not directly used without changing the training data, etc. However, if we look at the big picture to make a general statement, then the advances brought by Computer Vision on natural images often help push research on medical images forward, albeit with a year (or two) of delay. One such example is U-Net (https://en.wikipedia.org/wiki/U-Net).