Fast and robust brain tumor segmentation using level set method with multiple image information

Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation

(2016) Ahmed Elazab et al.   Journal of X-Ray Science and Technology

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multi-scale local region based level set method for image segmentation in the presence of intensity inhomogeneity

(2015) Xiao-Feng Wang et al.   NEUROCOMPUTING

A survey of MRI-based brain tumor segmentation methods

(2014) Jin Liu et al.   TSINGHUA SCIENCE AND TECHNOLOGY

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

State of the art survey on MRI brain tumor segmentation

(2013) Nelly Gordillo et al.   MAGNETIC RESONANCE IMAGING

A survey of MRI-based medical image analysis for brain tumor studies

(2013) Stefan Bauer et al.   PHYSICS IN MEDICINE AND BIOLOGY

Active contour model combining region and edge information

(2011) Yun Tian et al.   MACHINE VISION AND APPLICATIONS

Active contours with selective local or global segmentation: A new formulation and level set method

(2009) Kaihua Zhang et al.   IMAGE AND VISION COMPUTING