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Generally speaking this isn't super true, the objects are different enough that the same networks aren't best at both.
by joshuamorton 6y ago
Generally speaking this isn't super true, the objects are different enough that the same networks aren't best at both.
- woko 6y agoOf 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 https://en.wikipedia.org/wiki/U-Net).