Liver vessel segmentation based on centerline constraint and intensity model-Reference-Cited by-同舟云学术

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Liver vessel segmentation based on centerline constraint and intensity model

Published:2018-08 Issue: Volume:45 Page:192-201
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zeng Ye-zhan,Zhao Yu-qian,Liao Sheng-hui,Liao Miao,Chen Yan,Liu Xi-yao

Funder

the National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

Scientific Research Fund of Hunan Provincial Education Department

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference37 articles.

1. Analysis of vasculature for liver surgical planning;Selle;IEEE Trans. Med. Imaging,2002

2. Segmentation of liver and vessels from CT images and classification of liver segments for preoperative liver surgical planning in living donor liver transplantation;Yang;Comput. Methods Programs Biomed.,2018

3. Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts;Bauer;Med. Image Anal.,2010

4. Hepatic vessel segmentation using variational level set combined with non-local robust statistics;Lu;Magn. Reson. Imaging,2017

5. Segmentation of liver vasculature from contrast enhanced CT images using context-based voting;Chi;IEEE Trans. Biomed. Eng.,2011

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2. Liver Vessel Segmentation Based On 3D Deeply Supervised Network;2023 International Conference on Machine Vision, Image Processing and Imaging Technology (MVIPIT);2023-09-22

3. A deep residual attention-based U-Net with a biplane joint method for liver segmentation from CT scans;Computers in Biology and Medicine;2023-01

4. Hepatic Vein and Arterial Vessel Segmentation in Liver Tumor Patients;Computational Intelligence and Neuroscience;2022-09-23

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