Laplacian Salience-Gated Feature Pyramid Network for Accurate Liver Vessel Segmentation-Reference-Cited by-同舟云学术

Laplacian Salience-Gated Feature Pyramid Network for Accurate Liver Vessel Segmentation

Author:

Gao Zhan¹,Zong Qiuhao¹,Wang Yiqi¹^ORCID,Yan Yan¹,Wang Yuqing²^ORCID,Zhu Ning²,Zhang Jin¹^ORCID,Wang Yunfu³,Zhao Liang³^ORCID

Affiliation:

1. Taihe Hospital, Hubei University of Medicine, Shiyan, China

2. School of Biomedical Engineering, Hubei University of Medicine, Shiyan, China

3. Taihe Hospital/Hubei Key Laboratory of Embryonic Stem Cell Research, Hubei University of Medicine, Shiyan, China

Funder

National Natural Science Foundation of China

Advantages Discipline Group (Medicine) Project in Higher Education of Hubei Province

Free Exploration Fund of Hubei University of Medicine

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference57 articles.

1. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention—MICCAI,2015

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