Image generation system, image generation method, and non-transitory computer-readable storage medium
AssigneeOlympus Corporation
InventorsKota AKIYOSHI, Tetsuya TANABE
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Abstract
An image generation system comprising a computer processor that functions as: an image input part configured to input an input image, the input image being a time-series image obtained by imaging an observed cell over time; and an image generator configured to generate a growth prediction image of the observed cell from the time-series image of the observed cell based on a first learned model, which has learned a relationship between the time-series image of a learning cell and a feature of the learning cell, and output the growth prediction image as an output image.
Claims19
An image generation system comprising a computer processor that functions as:
- an image input part configured to input an input image, the input image being a time-series image obtained by imaging an observed cell over time;
- and
- an image generator configured to generate a growth prediction image of the observed cell from the time-series image of the observed cell based on a first learned model, which has learned a relationship between the time-series image of a learning cell and a feature of the learning cell, and output the growth prediction image as an output image.
An image generation method implemented in a computer system having a computer processor specifically programmed to perform the method, the method comprising:
- an input process in which an input image is input, the input image being a time-series image obtained by imaging an observed cell over time;
- and
- an image generation process in which a growth prediction image of the observed cell is generated from the time-series image of the observed cell based on a first learned model, which has learned a relationship between the time-series image of a learning cell and a feature of the learning cell, and the growth prediction image is output as an output image.
A non-transitory computer-readable medium with an executable program stored thereon, wherein the program instructs a processor to perform:
- an input process in which a time-series image obtained by imaging an observed cell over time is input as an input image;
- and
- an image generation process in which a growth prediction image of the observed cell is generated as an output image from the time-series image of the observed cell, based on a first learned model, which has learned about a relationship between the time-series image of a learning cell and a feature of the learning cell.
Dependencies are inferred from the claim text.