MIT: New AI Method Captures Uncertainty in Medical Images
April 11, 2024
April 11, 2024
CAMBRIDGE, Massachusetts, April 11 (TNSres) -- The Massachusetts Institute of Technology issued the following news:
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By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
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By Adam Zewe, MIT News
In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. . . .
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By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
* * *
By Adam Zewe, MIT News
In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. . . .