公开(公告)号：US20210219934A1

公开(公告)日：2021-07-22

申请号：US17219957

申请日：2021-04-01

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Youbing Yin ,  Shubao Liu ,  Qi Song ,  Ying Xuan Zhi

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

Abstract: The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.

公开(公告)号：US20200065374A1

公开(公告)日：2020-02-27

申请号：US16544837

申请日：2019-08-19

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Feng Gao ,  Changsheng Liu ,  Yue Pan ,  Youbing Yin ,  Kunlin Cao ,  Qi Song

IPC: G06F17/27 ,  G16H10/60 ,  G06N3/08

Abstract: Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.

公开(公告)号：US20190050981A1

公开(公告)日：2019-02-14

申请号：US15996434

申请日：2018-06-02

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Qi Song ,  Shanhui Sun ,  Hanbo Chen ,  Junjie Bai ,  Feng Gao ,  Youbing Yin

IPC: G06T7/00 ,  G06T7/11 ,  G06N3/04 ,  G06N5/04 ,  G06N99/00 ,  G06T11/20 ,  G16H30/40

Abstract: A computer-implemented method for automatically detecting a target object from a 3D image is disclosed. The method may include receiving the 3D image acquired by an imaging device. The method may further include detecting, by a processor, a plurality of bounding boxes as containing the target object using a 3D learning network. The learning network may be trained to generate a plurality of feature maps of varying scales based on the 3D image. The method may also include determining, by the processor, a set of parameters identifying each detected bounding box using the 3D learning network, and locating, by the processor, the target object based on the set of parameters.