System and method for predicting endometrium receptivity
AssigneeFuture Fertility Inc.
InventorsDan Nayot, Rene Michael Bharti, Alexandr Krivoi, Jim Meriano
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Abstract
Methods and systems for predicting endometrium receptivity are disclosed, the method include: maintaining a data set representing a neural network having a plurality of weights; obtaining a first image of an endometrium with a first timestamp; extracting a first set of target endometrium features from the first image; and generating, using the neural network and based on the first set of target endometrium features, a predicted value indicating a endometrium receptivity of the endometrium in the first image.
Claims20
A computer-implemented system for predicting endometrium receptivity, comprising:
- a processor;
- and
- a memory coupled to the processor and storing processor-executable instructions that, when executed, configure the processor to:
- maintain a data set representing a neural network having a plurality of weights;
- obtain a first image of an endometrium with a first timestamp;
- extract a first set of target endometrium physical features from the first image, including a thickness of the endometrium, wherein extracting the thickness of the endometrium comprises identifying morphologically-relevant points of the endometrium in the first image and determining the thickness of the endometrium based on at least some of the morphologically-relevant points;
- and
- generate, using the neural network and based on the first set of target endometrium physical features including the thickness of the endometrium, a predicted value indicating an endometrium receptivity for embryo implantation in the endometrium in the first image, the predicted value for determining a window of the embryo implantation.
A computer-implemented method for predicting endometrium receptivity, the method comprising:
- maintaining a data set representing a neural network having a plurality of weights;
- obtaining a first image of an endometrium with a first timestamp;
- extracting a first set of target endometrium physical features from the first image including a thickness of the endometrium, wherein extracting the thickness of the endometrium comprises identifying morphologically-relevant points of the endometrium in the first image and determining the thickness of the endometrium based on at least some of the morphologically-relevant points;
- and
- generating, using the neural network and based on the first set of target endometrium physical features including the thickness of the endometrium, a predicted value indicating an endometrium receptivity for embryo implantation in the endometrium in the first image, the predicted value for determining a window of the embryo implantation.
A non-transitory computer-readable medium having stored thereon machine interpretable instructions which, when executed by a processor, cause the processor to perform:
- maintaining a data set representing a neural network having a plurality of weights;
- obtaining a first image of an endometrium with a first timestamp;
- extracting a first set of target endometrium physical features from the first image including a thickness of the endometrium, wherein extracting the thickness of the endometrium comprises identifying morphologically-relevant points of the endometrium in the first image and determining the thickness of the endometrium based on at least some of the morphologically-relevant points;
- and
- generating, using the neural network and based on the first set of target endometrium physical features including the thickness of the endometrium, a predicted value indicating a endometrium receptivity for embryo implantation in the endometrium in the first image, the predicted value for determining a window for the embryo implantation.
Dependencies are inferred from the claim text.