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)] | 15 Claims |
1. A system comprising a processor and a non-transient storage medium including processor executable instructions configured to cause the processor to:
receive a set of medical imaging data;
determine a set of parameters for at least two algorithms wherein the at least two algorithms include at least one of a deterministic algorithm or a machine learning algorithm, and wherein for the machine learning algorithm the set of parameters is based on a training set of data;
utilize a first algorithm of the at least two algorithms to identify and quantify a set of biological properties based on the medical imaging data;
utilize a second algorithm of the at least two algorithms to identify and characterize one or more medical conditions based on the quantified biological properties; and
output the identification or characterization of the one or more medical conditions, or the set of quantified biological properties.
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