Digital tissue segmentation and mapping with concurrent subtyping
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United States of America
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Nov 26, 2024
Grant Date -
Feb 16, 2023
app pub date -
Jul 22, 2022
filing date -
Jul 22, 2022
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Abstract
Accurate tissue segmentation is performed without a priori knowledge of tissue type or other extrinsic information not found within the subject image, and may be combined with classification analysis so that diseased tissue is not only delineated within an image but also characterized in terms of disease type. In various embodiments, a source image is decomposed into smaller overlapping subimages such as square or rectangular tiles. A predictor such as a convolutional neural network produces tile-level classifications that are aggregated to produce a tissue segmentation and, in some embodiments, to classify the source image or a subregion thereof.
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