DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function

Author:

Su JunORCID,Liu ZheORCID,Zhang Jing,Sheng Victor S.,Song Yuqing,Zhu Yan,Liu Yi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference38 articles.

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

2. Hepatic vessel segmentation for 3D planning of liver surgery: experimental evaluation of a new fully automatic algorithm;Conversano;Acad. Radiol.,2011

3. Automatic 3-d skeleton-based segmentation of liver vessels from mri and ct for couinaud representation;Lebre,2018

4. Automated segmentation of hepatic vessels in non-contrast X-ray ct images;Kawajiri;Radiol. Phys. Technol.,2008

5. Segmentation of liver vasculature from contrast enhanced CT images using context-based voting;Chi;IEEE Trans. Biomed. Eng.,2010

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