Patent ID: 11861514
Assignee: LUMINEX CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
(a) receiving, with a computer system, a dataset of image-derived features for each of a plurality of images, wherein the image-derived features are determined by using a first machine learning algorithm to analyze the plurality of images;
(b) generating, with the computer system using a dimensionality reduction algorithm, a dimensionally-reduced dataset from the dataset of image-derived features;
(c) identifying, with the computer system using a clustering algorithm, a plurality of clusters of datapoints within the dimensionally-reduced dataset;
(d) generating, with the computer system, a visual representation of the datapoints as icons grouped by cluster, wherein each icon represents one or more particular datapoints and is selectable to cause display of one or more of the plurality of images associated with the one or more particular datapoints;
(e) receiving, at the computer system, a selection of one or more of the icons;
(f) in response to the selection, causing, with the computer system, display of the images associated with the one or more particular datapoints represented by the one or more selected icons;
(g) receiving, at the computer system, user classification labels for a first set of images from the plurality of images;
(h) generating, with the computer system with the dimensionality reduction algorithm and a second machine learning algorithm being distinct and different from the first machine learning algorithm and using the user classification labels for the first set of images, a second dimensionally-reduced dataset from the datasets of image-derived features for a second set of images from the plurality of images, the second set of images including unlabeled images;
(i) identifying, with the computer system using the clustering algorithm and the second machine learning algorithm, predicted classification labels for at least some of the unlabeled images in the second set of images; and
(j) receiving, at the computer system, a user response to the predicted classification label for one or more of the unlabeled images.