Cell image analysis method
AssigneeShimadzu Corporation
InventorsRyuji Sawada, Shuhei Yamamoto
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Abstract
A cell image analysis method according to this invention includes a step of acquiring a cell image (10) including a cell (90); a step of inputting the cell image to a learned model (6) that has learned classification of the cell into one of two or more types; a step of acquiring an index value (20) indicating accuracy of the classification of the cell that is included in the cell image into one of two or more types based on an analysis result of each of pixels of the cell image output from the learned model; and a step of displaying the acquired index value.
Claims11
A cell image analysis method comprising:
- a step of acquiring a cell image including a cell;
- a step of inputting the cell image to a learned model that has learned classification of the cell into one of two or more types;
- a step of acquiring an index value indicating accuracy of the classification of the cell that is included in the cell image into one of two or more types based on an analysis result of each of pixels of the cell image output from the learned model;
- and
- a step of displaying the acquired index value,
- wherein the learned model has been learned to output a probability value(s) that is/are an estimation value(s) of the classification for every pixel of the cell image as the analysis result;
- and
- a representative value of the probability value(s) obtained based on the probability value(s) output for every pixel of the cell image by the learned model in the step of acquiring an index value.
Dependencies are inferred from the claim text.