Parametric Modeling and Inference of Diagnostically Relevant Histological Patterns in Digitized Tissue Images

• Main Authors: Chennubhotla, Srinivas C, Tosun, Akif Burak, Fine, Jeffrey
• Format: Patent
• Language: English
• Published: 17.08.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

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.