发明名称 |
Apparatus, Method, and System for Image-Based Human Embryo Cell Classification |
摘要 |
Apparatuses, methods, and systems for automated cell classification, embryo ranking, and/or embryo categorization are provided. An apparatus includes a classification module configured to apply classifiers to images of one or more cells to determine, for each image, a classification probability associated with each classifier. Each classifier is associated with a distinct first number of cells, and is configured to determine the classification probability for each image based on cell features including one or more machine learned cell features. The classification probability indicates an estimated likelihood that the distinct first number of cells is shown in each image. The classification module is further configured to classify each image as showing a second number of cells based on the distinct first number of cells and the classification probabilities associated therewith. The classification module is implemented in at least one of a memory or a processing device. |
申请公布号 |
US2016078275(A1) |
申请公布日期 |
2016.03.17 |
申请号 |
US201514856882 |
申请日期 |
2015.09.17 |
申请人 |
Progyny, Inc. |
发明人 |
Wang Yu;Moussavi Farshid;Lorenzen Peter;Gould Stephen |
分类号 |
G06K9/00;G06K9/62 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method for automated cell classification, comprising:
applying a plurality of first classifiers to each of a plurality of images of one or more cells to determine, for each image, a first classification probability associated with each first classifier, wherein:
each first classifier is associated with a distinct first number of cells, and determines the first classification probability for the each image based on a plurality of cell features including one or more machine learned cell features; andthe first classification probability indicates a first estimated likelihood that the distinct first number of cells associated with the each first classifier is shown in the each image, the each of the plurality of images thereby having a plurality of the first classification probabilities associated therewith; and
classifying each image as showing a second number of cells based on the distinct first number of cells associated with the each first classifier and the plurality of first classification probabilities associated therewith. |
地址 |
Menlo Park CA US |