公开(公告)号：US20220222812A1

公开(公告)日：2022-07-14

申请号：US17482901

申请日：2021-09-23

Applicant: Shenzhen Keya Medical Technology Corporation

Inventor： Jinchen LI ,  Guang LI ,  Chengwei SUN ,  Kunlin CAO ,  Qi SONG

IPC: G06T7/00 ,  G16H30/40 ,  G06K9/62 ,  G06N3/04

Abstract: The present disclosure provides a method, a device, and a non-transitory computer-readable storage medium for detecting a medical condition of an organ. The method includes obtaining 2D image sequences of the organ in a plurality of different directions and applying a plurality of classification branches to the 2D image sequences. Each classification branch receives a 2D image sequence of one direction and provides a classification result with respect to that direction. Each classification branch includes a convolutional neural network configured to extract first image features from the corresponding 2D image sequence and a recurrent neural network configured to extract second image features from the first image features. The method further includes fusing the classification results provided by the plurality of classification branches for detecting the medical condition.

公开(公告)号：US20230005113A1

公开(公告)日：2023-01-05

申请号：US17741098

申请日：2022-05-10

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Guang LI ,  Jinchen LI ,  Chengwei SUN ,  Cong CHEN ,  Kunlin CAO ,  Qi SONG

IPC: G06T5/50 ,  G06T7/00 ,  G06T7/73 ,  G06T7/174

Abstract: A method for medical image data enhancement is provided. The method includes: receiving a medical image sample set related to an object to be detected; based on an attribute of the object lacking in the medical image sample set, selecting a first medical image and a second medical image from the medical image sample set, where the first medical image contains the object lacking the attribute, and the second medical image does not contain the object lacking the attribute; determining a first area image block containing the lacking attribute; determining a second area image block not containing the lacking attribute; generating a composite area image block by fusing the first area image block and the second area image block based on a mask including an object part and a peripheral part around the object part; embedding the composite area image block back into the second medical image to obtain a third medical image; including the third medical image in the medical image sample set to obtain a data-enhanced medical image sample set.

公开(公告)号：US20220301154A1

公开(公告)日：2022-09-22

申请号：US17408321

申请日：2021-08-20

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Ruoping LI ,  Pengfei ZHAO ,  Junhuan LI ,  Bin OUYANG ,  Yuwei LI ,  Kunlin CAO ,  Qi SONG

IPC: G06T7/00 ,  G06K9/46 ,  G06K9/62 ,  G06F40/20 ,  G16H30/20 ,  G16H10/60 ,  G06N3/08

Abstract: The present disclosure relates to a medical image analysis method, a medical image analysis device, and a computer-readable storage medium. The medical image analysis method includes receiving a medical image acquired by a medical imaging device; determining a navigation trajectory by performing navigation processing on the medical image based on an analysis requirement, the analysis requirement indicating a disease to be analyzed; extracting an image block set along the navigation trajectory; extracting image features using a first learning network based on the image block set; and determining an analysis result using a second learning network based on the image features and the navigation trajectory.

公开(公告)号：US20200085395A1

公开(公告)日：2020-03-19

申请号：US16689048

申请日：2019-11-19

Applicant: Shenzhen Keya Medical Technology Corporation

Inventor： Qi SONG ,  Ying Xuan ZHI ,  Xiaoxiao LIU ,  Shubao LIU ,  Youbing YIN ,  Yuwei LI ,  Kunlin CAO

IPC: A61B6/00 ,  G06T7/20 ,  G06T7/269 ,  G06T7/00 ,  G06T7/277

Abstract: The present disclosure relates to a method, storage medium, and system for analyzing an image sequence of a periodic physiological activity. In one implementation, the method includes receiving the image sequence acquired by an imaging device, the image sequence having a plurality of frames, and identifying a feature point in a first frame. The method further includes determining motion vectors for the feature point in the frames of the image sequence. Each motion vector for the feature point is determined based on respective locations of corresponding feature points in frames adjacent to the first frame. The method also includes determining a motion magnitude profile based on the determined motion vectors and determining a phase of each frame in the image sequence based on the motion magnitude profile.

公开(公告)号：US20190209113A1

公开(公告)日：2019-07-11

申请号：US15864398

申请日：2018-01-08

Applicant: Shenzhen Keya Medical Technology Corporation

Inventor： Xiaoxiao LIU ,  Shubao LIU ,  Bin MA ,  Kunlin CAO ,  Youbing YIN ,  Yuwei LI ,  Qian ZHAO ,  Qi SONG

IPC: A61B6/00 ,  G06T7/20

CPC classification number: A61B6/504 ,  G06F16/50 ,  G06T7/20 ,  G06T2207/30004

Abstract: The present disclosure relates to a method, storage medium, and system for analyzing an image sequence of a periodic physiological activity. In one implementation, the method includes receiving the image sequence acquired by an imaging device, the image sequence having a plurality of frames and determining local motions for pixels in each frame of the image sequence. The local motion for a pixel may be determined using corresponding pixels in frames adjacent to the frame to which the pixel belongs. The method further includes determining principal motions for the plurality of frames based on the local motions; determining a motion magnitude profile based on the principal motions; and determining the phase of each frame in the image sequence based on the motion magnitude profile.