CPC G06T 7/0012 (2013.01) [G06F 18/211 (2023.01); G06F 18/2148 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 3/00 (2013.01); G06T 5/73 (2024.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 20/69 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30104 (2013.01)] | 20 Claims |
1. A method for computer aided determination of omics of a pathology using an enriched radiological dataset, the method comprising:
receiving a radiological dataset for a patient, wherein the radiological dataset is obtained without subjecting the patient to an invasive procedure;
enriching the dataset by performing semantic segmentation to identify and classify one or more of: (i) anatomic structure, (ii) shape or geometry or (iii) tissue characteristic, type, or character, with objective validation for a set of analytes relevant to a pathology to produce an annotated dataset based on the radiological dataset; and
using a machine learned classification approach based on known ground truths to process the enriched dataset and determine an omic profile for the pathology.
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