公开(公告)号：US11087463B2

公开(公告)日：2021-08-10

申请号：US16448460

申请日：2019-06-21

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06T7/10 ,  G06N20/00 ,  G06F17/18 ,  G06K9/62 ,  G06T7/00 ,  G06N3/04

Abstract: A computer-implemented image analysis method and system. The method comprises: quantifying one or more features segmented and identified from a medical image of a subject; extracting clinically relevant features from non-image data pertaining to the subject; assessing the features segmented from the medical image and the features extracted from the non-image data with a trained machine learning model; and outputting one or more results of the assessing of the features.

公开(公告)号：US10997466B2

公开(公告)日：2021-05-04

申请号：US16448252

申请日：2019-06-21

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06K9/00 ,  G06K9/62 ,  G06T7/11

Abstract: An image segmentation method system, the system comprising: a training subsystem configured to train a segmentation machine learning model using annotated training data comprising images associated with respective segmentation annotations, so as to generate a trained segmentation machine learning model; a model evaluator; and a segmentation subsystem configured to perform segmentation of a structure or material in an image using the trained segmentation machine learning model. The model evaluator is configured to evaluate the segmentation machine learning model by (i) controlling the segmentation subsystem to segment at least one evaluation image associated with an existing segmentation annotation using the segmentation machine learning model and thereby generate a segmentation of the annotated evaluation image, and (ii) forming a comparison of the segmentation of the annotated evaluation image and the existing segmentation annotation. The method includes deploying the trained segmentation machine learning model for use if the comparison indicates that the segmentation machine learning model is satisfactory.

公开(公告)号：US10008008B2

公开(公告)日：2018-06-26

申请号：US15021752

申请日：2014-09-10

Applicant: Straxcorp Pty Ltd

Inventor： Roger Zebaze ,  Yu Peng

IPC: G06T7/90 ,  H04N1/60 ,  H04N1/62 ,  G06T7/11 ,  G06T7/10 ,  G06K9/46 ,  G06K9/52 ,  G06K9/62 ,  G06T11/00

CPC classification number: G06T7/90 ,  G06K9/4652 ,  G06K9/52 ,  G06K9/6215 ,  G06K9/6218 ,  G06T7/10 ,  G06T7/11 ,  G06T11/001 ,  G06T2200/04 ,  G06T2207/20092 ,  G06T2207/20112 ,  H04N1/60 ,  H04N1/62

Abstract: A method and system for assigning colors to an image or part thereof, the method comprising: selecting a sequence of colors for assignment to the image or part thereof; determining a minimum intensity IMIN within the image or part thereof; determining a maximum intensity IMAX within the image or part thereof; and determining relative intensity values RIV(i) for each pixel or voxel i according to; (I) where I(i) is an intensity of pixel or voxel /, and ƒ is a preselected function (such as to re-arrange the normalized values); and assigning colors to at least some pixels in the image or part thereof based on the relative intensity values and an order of each of the colors in the sequence.