PARAMETRIC MODELING AND INFERENCE OF DIAGNOSTICALLY RELEVANT HISTOLOGICAL PATTERNS IN DIGITIZED TISSUE IMAGES
A computational pathology method includes receiving multi-parameter cellular and/or sub-cellular imaging data for an image of a tissue sample, and locating and segmenting a plurality of tissue components of the tissue sample in the multi- parameter cellular and sub-cellular imaging data to generate...
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Main Authors | , , |
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Format | Patent |
Language | English French German |
Published |
14.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A computational pathology method includes receiving multi-parameter cellular and/or sub-cellular imaging data for an image of a tissue sample, and locating and segmenting a plurality of tissue components of the tissue sample in the multi- parameter cellular and sub-cellular imaging data to generate segmented multi¬ parameter cellular and sub-cellular imaging data. The method further includes applying a parametric feature modelling scheme to certain of the tissue components in the segmented multi-parameter cellular and sub-cellular imaging data, wherein the parametric feature modelling scheme is generated from a dictionary of pre-existing diagnostically relevant histological patterns and comprises a number of structural features adapted for defining a number of disease entities of a disease, and wherein the applying includes determining a quantification of each of the structural features for the tissue sample, and classifying a state of the disease in the tissue sample based the determined quantification of each of the structural features. |
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Bibliography: | Application Number: EP20210838666 |