公开(公告)号：US12094188B2

公开(公告)日：2024-09-17

申请号：US17565274

申请日：2021-12-29

Applicant: Shenzhen Keya Medical Technology Corporation

Inventor： Junhuan Li ,  Ruoping Li ,  Ling Hou ,  Pengfei Zhao ,  Yuwei Li ,  Kunlin Cao ,  Qi Song

IPC: G06V10/774 ,  G06T7/00 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06V10/7747 ,  G06T7/0012 ,  G06V10/776 ,  G06V10/82 ,  G06T2207/10081 ,  G06T2207/30048

Abstract: The present disclosure relates to a training method and a training system for training a learning network for medical image analysis. The training method includes: acquiring an original training data set for a learning network with a predetermined structure; performing, by a processor, a pre-training on the learning network using the original training data set to obtain a pre-trained learning network; evaluating, by the processor, the pre-trained learning network to determine whether the pre-trained learning network has an evaluation defect; when the pre-trained learning network has the evaluation defect, performing, by the processor, a data augmentation on the original training data set for the existing evaluation defect; and performing, by the processor, a refined training on the pre-trained learning network using a data augmented training data set. The present disclosure can evaluate and train the learning network in stages, therefore, the complexity of medical image processing is reduced, and the efficiency and accuracy of medical image analysis are improved.

公开(公告)号：US11494908B2

公开(公告)日：2022-11-08

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: G06K9/00 ,  G06T7/00 ,  G06K9/62 ,  G06F40/20 ,  G16H30/20 ,  G16H10/60 ,  G06N3/08 ,  G06V10/50

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.