Invention Grant
- Patent Title: Systems and methods for image segmentation using a scalable and compact convolutional neural network
-
Application No.: US16997754Application Date: 2020-08-19
-
Publication No.: US11574406B2Publication Date: 2023-02-07
- Inventor: Hanbo Chen , Shanhui Sun , Youbing Yin , Qi Song
- Applicant: Keya Medical Technology Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: Keya Medical Technology Co., Ltd.
- Current Assignee: Keya Medical Technology Co., Ltd.
- Current Assignee Address: CN Beijing
- Agency: Bayes PLLC
- Main IPC: G06T7/11
- IPC: G06T7/11 ; G06T7/136 ; G06N3/08 ; G06T7/12

Abstract:
Embodiments of the disclosure provide systems and methods for segmenting an image. An exemplary system includes a communication interface configured to receive the image acquired by an image acquisition device. The system further includes a memory configured to store a multi-level learning network comprising a plurality of convolution blocks cascaded at multiple levels. The system also includes a processor configured to apply a first convolution block and a second convolution block of the multi-level learning network to the image in series. The first convolution block is applied to the image and the second convolution block is applied to a first output of the first convolution block. The processor is further configured to concatenate the first output of the first convolution block and a second output of the second convolution block to obtain a feature map and obtain a segmented image based on the feature map.
Public/Granted literature
- US20200380689A1 SYSTEMS AND METHODS FOR IMAGE SEGMENTATION USING A SCALABLE AND COMPACT CONVOLUTIONAL NEURAL NETWORK Public/Granted day:2020-12-03
Information query