公开(公告)号：US20190065884A1

公开(公告)日：2019-02-28

申请号：US16053574

申请日：2018-08-02

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yingying Li ,  Lvwei Wang

IPC: G06K9/42 ,  G06K9/32 ,  G06K9/62 ,  G06T7/00

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.

公开(公告)号：US20190057488A1

公开(公告)日：2019-02-21

申请号：US16009151

申请日：2018-06-14

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yingying Li

IPC: G06T3/40 ,  G06T7/136 ,  G06K9/32 ,  G06T7/11 ,  G06K9/38

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.