公开(公告)号：US20190080456A1

公开(公告)日：2019-03-14

申请号：US15842402

申请日：2017-12-14

Applicant: Shenzhen Keya Medical Technology Corporation

Inventor： Qi Song ,  Hanbo Chen ,  Yujie Zhou ,  Youbing Yin ,  Yuwei Li

IPC: G06T7/143 ,  G06T7/13 ,  G06T7/12 ,  G06T7/11 ,  G06T7/194 ,  G06T7/174

Abstract: Methods and systems for segmenting images having sparsely distributed objects are disclosed. A method may include: predicting object potential areas in the image using a preliminary fully convolutional neural network; segmenting a plurality of sub-images corresponding to the object potential areas in the image using a refinement fully convolutional neural network, wherein the refinement fully convolutional neural network is trained to segment images on a higher resolution compared to a lower resolution utilized by the preliminary fully convolutional neural network; and combining the segmented sub-images to generate a final segmented image.