Biomedical image segmentation: advances and trends

A El-Baz, X Jiang, JS Suri - 2016‏ - books.google.com
As one of the most important tasks in biomedical imaging, image segmentation provides the
foundation for quantitative reasoning and diagnostic techniques. A large variety of different …

An efficient MRF embedded level set method for image segmentation

X Yang, X Gao, D Tao, X Li, J Li - IEEE transactions on image …, 2014‏ - ieeexplore.ieee.org
This paper presents a fast and robust level set method for image segmentation. To enhance
the robustness against noise, we embed a Markov random field (MRF) energy function to the …

LATE: A level-set method based on local approximation of Taylor expansion for segmenting intensity inhomogeneous images

H Min, W Jia, Y Zhao, W Zuo, H Ling… - IEEE Transactions on …, 2018‏ - ieeexplore.ieee.org
Intensity inhomogeneity is common in real-world images and inevitably leads to many
difficulties for accurate image segmentation. Numerous level-set methods have been …

A two-stage image segmentation via global and local region active contours

H Wang, TZ Huang, Z Xu, Y Wang - Neurocomputing, 2016‏ - Elsevier
Based on popular active contours, this paper proposes a novel two-stage image
segmentation method, which incorporates the global and local image region fitting energies …

Development of a cognitive robotic system for simple surgical tasks

R Muradore, P Fiorini, G Akgun… - International …, 2015‏ - journals.sagepub.com
The introduction of robotic surgery within the operating rooms has significantly improved the
quality of many surgical procedures. Recently, the research on medical robotic systems …

C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge

M Shi, GZ Li, F Li - Science China Information Sciences, 2013‏ - Springer
Extraction of the tongue body from digital images is essential for automated tongue
diagnoses in traditional Chinese medicine. This paper presents a fully automated active …

A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity

H Min, L **a, J Han, X Wang, Q Pan, H Fu, H Wang… - Pattern Recognition, 2019‏ - Elsevier
Images with intensity inhomogeneity pose significant challenges in image segmentation.
Local region-based level set models have recently been recognized as promising methods …

Automated liver tumor detection using Markov random field segmentation

A Raj, M Jayasree - Procedia Technology, 2016‏ - Elsevier
Liver cancers are one of the most popular cancers occurring now a days. The majority of
liver carcinomas are dueto alcohol related cirrhosis and hepatitis. Also there are metastatic …

[HTML][HTML] Image segmentation using active contours with hessian-based gradient vector flow external force

Q Qian, K Cheng, W Qian, Q Deng, Y Wang - Sensors, 2022‏ - mdpi.com
The gradient vector flow (GVF) model has been widely used in the field of computer image
segmentation. In order to achieve better results in image processing, there are many …

Multiple LREK active contours for knee meniscus ultrasound image segmentation

A Faisal, SC Ng, SL Goh, J George… - IEEE transactions on …, 2015‏ - ieeexplore.ieee.org
Quantification of knee meniscus degeneration and displacement in an ultrasound image
requires simultaneous segmentation of femoral condyle, meniscus, and tibial plateau in …