Medical image comparison method and system thereof

    公开(公告)号:US10510145B2

    公开(公告)日:2019-12-17

    申请号:US15855082

    申请日:2017-12-27

    Abstract: A medical image comparison method is firstly to obtain plural images of the same body at different time points. Then, obtain a first feature point group by detecting feature points in the first image captured at a first time point, and a second feature point group by identifying feature points in the second image captured at a second time point. An overlapping image information is generated by aligning the second image with the first image according to the first and second feature point groups. Then, window areas corresponding to a first matching image and a second matching image of the overlapping image information are extracted one by one by sliding a window mask, and an image difference ratio for each of the window areas is calculated. In addition, a medical image comparison system is also provided.

    Method of labelling features for image recognition and apparatus thereof

    公开(公告)号:US11409999B2

    公开(公告)日:2022-08-09

    申请号:US16921896

    申请日:2020-07-06

    Abstract: A method of labelling features for image recognition and an apparatus thereof are provided. The method includes inputting an image to be recognized to an image recognition model to obtain a classification result; obtaining a plurality of recognized features and positions of the recognized features from the image to be recognized based on activation maps respectively corresponding to a plurality of preset features in the classification result; and labelling the recognized features and the positions of the recognized features activating the classification result. Accordingly, the features determined by the image recognition model can be showed clearly by the method of labelling features for image recognition and the apparatus thereof.

    MINING METHOD FOR SAMPLE GROUPING

    公开(公告)号:US20220215966A1

    公开(公告)日:2022-07-07

    申请号:US17219901

    申请日:2021-04-01

    Abstract: A mining method for sample grouping is provided. The method includes the following steps. A field dataset including multiple samples is obtained, and each sample corresponds to an actual labeled result. The samples are respectively input to an existing model, so as to obtain the estimated results. An outlier sample set in the field dataset is removed based on a difference distribution of the estimated results and the actual labeled results, and the samples that remain in the field dataset form a remaining sample set. The remaining sample set is grouped into a hard sample set and an easy sample set based on the estimated results of the remaining sample set.

    METHOD OF LABELLING FEATURES FOR IMAGE RECOGNITION AND APPARATUS THEREOF

    公开(公告)号:US20210326637A1

    公开(公告)日:2021-10-21

    申请号:US16921896

    申请日:2020-07-06

    Abstract: A method of labelling features for image recognition and an apparatus thereof are provided. The method includes inputting an image to be recognized to an image recognition model to obtain a classification result; obtaining a plurality of recognized features and positions of the recognized features from the image to be recognized based on activation maps respectively corresponding to a plurality of preset features in the classification result; and labelling the recognized features and the positions of the recognized features activating the classification result. Accordingly, the features determined by the image recognition model can be showed clearly by the method of labelling features for image recognition and the apparatus thereof.

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