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The new study studies how tissue structure ages using a deep-learning computer vision model called PathStAR. The model segments scanned histopathology slides into many smaller images known as patches. This example shows patches from an ovarian tissue biopsy donated by subjects aged 60-69 (top left) and 20-29 (top right).
The patches are analyzed to extract features that reflect underlying tissue structure. PathStAR uses these features to chart how structural aging occurs over time.
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Anamika Yadav, Sanju Sinha, Sanford Burnham Prebys
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