Image processing method and image processing device

    公开(公告)号:US11138738B2

    公开(公告)日:2021-10-05

    申请号:US15974926

    申请日:2018-05-09

    Abstract: The embodiments of the present disclosure disclose an image processing method and device. The image processing method comprises transforming a first image to obtain a plurality of second images; obtaining feature maps of each of the second images by performing feature extraction on the second images using a first machine learning unit selected from a group including at least one first machine learning unit; and inputting the feature maps of each of the second images to a second machine learning unit to obtain a processing result of the first image.

    Training method and device of neural network for medical image processing, and medical image processing method and device

    公开(公告)号:US11636664B2

    公开(公告)日:2023-04-25

    申请号:US16053574

    申请日:2018-08-02

    Abstract: The present disclosure provides a training method and device of a neural network for medical image processing, a medical image processing method and device, and an electronic apparatus for medical image processing based on a neural network. The training method includes performing a pre-processing process on an original image to obtain a pre-processed image, performing a data-augmenting process on the pre-processed image to obtain an augmented image retaining a pathological feature, the augmented image including at least one image with first resolution and at least one image with second resolution being higher than the first resolution, and training the neural network by selecting the image with first resolution and a part-cropping image from the image with second resolution as training samples.

    Method and device of extracting label in medical image

    公开(公告)号:US11379989B2

    公开(公告)日:2022-07-05

    申请号:US16623527

    申请日:2019-06-03

    Inventor: Yingying Li

    Abstract: A method and a device of extracting a label in a medical image are provided. The method includes: performing an edge detection on the medical image by using an edge detection algorithm, to acquire edge information in the medical image; determining at least one target area defined by the edge information; performing a fitting process on the at least one target area, to obtain a fitting area; and extracting the label in the medical image by selecting, from the fitting areas, at least one target fitting area matching a preset condition, wherein the preset condition is set based on a characteristic of the fitting area.

    IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE

    公开(公告)号:US20210398287A1

    公开(公告)日:2021-12-23

    申请号:US17463898

    申请日:2021-09-01

    Abstract: The embodiments of the present disclosure disclose an image processing method and device. The image processing method comprises transforming a first image to obtain a plurality of second images; obtaining feature maps of each of the second images by performing feature extraction on the second images using a first machine learning unit selected from a group including at least one first machine learning unit; and inputting the feature maps of each of the second images to a second machine learning unit to obtain a processing result of the first image.

    Image processing method and device

    公开(公告)号:US11170482B2

    公开(公告)日:2021-11-09

    申请号:US16619771

    申请日:2018-08-20

    Abstract: The present disclosure relates to an image processing method and a device, wherein the image processing method includes: acquiring a first image, the first image including an image formed with respect to a skin part of a patient to be diagnosed which needs diagnosis; inputting the first image into a neural network, to acquire position information of a pathologic change area in the first image; acquiring a boundary of the pathologic change area in the first image, acquiring an original image and a mask image which include the pathologic change area from the first image; fusing the mask image and the original image, obtaining a target image corresponding to the pathologic change area; wherein the target image is an image for diagnosing the pathologic change area, pixel points in the target image correspond to those in the original image and the mask image one by one.

    Image processing method and device

    公开(公告)号:US10861134B2

    公开(公告)日:2020-12-08

    申请号:US16009151

    申请日:2018-06-14

    Inventor: Yingying Li

    Abstract: An image processing device and an image processing method are disclosed. The image processing method comprises: acquiring an image; segmenting the acquired image by using a deep learning-based segmentation process to obtain a binarized image labeled with a region of interest; processing a pixel matrix of the acquired image by using a pixel matrix of the binarized image to obtain a segmented image; and performing super-resolution reconstruction on the segmented image by using a deep learning-based super-resolution neural network to obtain a reconstructed image.

    IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE

    公开(公告)号:US20190130574A1

    公开(公告)日:2019-05-02

    申请号:US15974926

    申请日:2018-05-09

    Abstract: The embodiments of the present disclosure disclose an image processing method and device. The image processing method comprises transforming a first image to obtain a plurality of second images; obtaining feature maps of each of the second images by performing feature extraction on the second images using a first machine learning unit selected from a group including at least one first machine learning unit; and inputting the feature maps of each of the second images to a second machine learning unit to obtain a processing result of the first image.

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