Improved maximally stable extremal regions based method for the segmentation of ultrasonic liver images-Reference-Cited by-同舟云学术

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Improved maximally stable extremal regions based method for the segmentation of ultrasonic liver images

Published:2015-07-21 Issue:18 Volume:75 Page:10979-10997
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhu Haijiang,Sheng Junhui,Zhang Fan,Zhou Jinglin,Wang Jing

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-015-2822-z.pdf

Reference40 articles.

1. Akbari H, Fei BW (2012) 3D ultrasound image segmentation using wavelet support vector machines. Med Phys 39(6):2972–2984

2. Chen CM, Lu HS (2000) An adaptive snake model for ultrasound image segmentation: Modified trimmed mean filter, ramp integration and adaptive weighting parameters. Ultrason Imaging 22(4):214–236

3. Chen CM, Lu HHS, Hsiao AT (2001) A dual-snake model of high penetrability for ultrasound image boundary extraction. Ultrasound Med Biol 27(12):1651–1665

4. Chen CM, Lu HHS, Huang YS (2002) Cell-based dual snake model: A new approach to extracting highly winding boundaries in the ultrasound images. Ultrasound Med Biol 28(8):1061–1073

5. Chen MF, Zhu HS, Zhu HJ (2013) Segmentation of liver in ultrasonic image applying local optimal threshold method. Imaging Sci J 61(7):579–591

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