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Fuzzy C-mean based brain MRI segmentation algorithms
MA Balafar - Artificial intelligence review, 2014 - Springer
Brain image segmentation is one of the most important parts of clinical diagnostic tools.
Fuzzy C-mean (FCM) is one of the most popular clustering based segmentation methods. In …
Fuzzy C-mean (FCM) is one of the most popular clustering based segmentation methods. In …
A fast weak-supervised pulmonary nodule segmentation method based on modified self-adaptive FCM algorithm
H Liu, F Geng, Q Guo, C Zhang, C Zhang - Soft Computing, 2018 - Springer
One of the key problems of computer-aided diagnosis is to segment specific anatomy
structures in tomographic images as fast and accurately as possible, which is an important …
structures in tomographic images as fast and accurately as possible, which is an important …
Anti-noise FCM image segmentation method based on quadratic polynomial
X Zhang, Y Ning, X Li, C Zhang - Signal Processing, 2021 - Elsevier
Image segmentation is an important and challenging task in computer vision and image
understanding, in which the segmentation model is the key to improve the quality of image …
understanding, in which the segmentation model is the key to improve the quality of image …
SAR Image Segmentation Based on Improved Grey Wolf Optimization Algorithm and Fuzzy C‐Means
MQ Li, LP Xu, N Xu, T Huang… - Mathematical Problems in …, 2018 - Wiley Online Library
An improved Grey Wolf Optimization (GWO) algorithm with differential evolution (DEGWO)
combined with fuzzy C‐means for complex synthetic aperture radar (SAR) image …
combined with fuzzy C‐means for complex synthetic aperture radar (SAR) image …
Exploitation of Bio-Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images
K Ramamoorthy, H Rajaguru - Biomimetics, 2024 - mdpi.com
In the current scenario, liver abnormalities are one of the most serious public health
concerns. Cirrhosis of the liver is one of the foremost causes of demise from liver diseases …
concerns. Cirrhosis of the liver is one of the foremost causes of demise from liver diseases …
Density-based fuzzy C-means multi-center re-clustering radar signal sorting algorithm
S Cao, S Wang, Y Zhang - 2018 17th IEEE International …, 2018 - ieeexplore.ieee.org
As the improving strategic position of electronic warfare in modern warfare, radar sorting
detection becomes the eye of modern information warfare and plays an important role in it …
detection becomes the eye of modern information warfare and plays an important role in it …
A modified fuzzy C-means algorithm for brain MR image segmentation and bias field correction
WQ Deng, XM Li, X Gao, CM Zhang - Journal of computer science and …, 2016 - Springer
In quantitative brain image analysis, accurate brain tissue segmentation from brain magnetic
resonance image (MRI) is a critical step. It is considered to be the most important and difficult …
resonance image (MRI) is a critical step. It is considered to be the most important and difficult …
A medical image segmentation method with anti-noise and bias-field correction
H Xu, C Ye, F Zhang, X Li, C Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Brain magnetic resonance images (MRI) are affected by noise and bias field, which make
the traditional FCM algorithm unable to segment tissue regions of MR images accurately …
the traditional FCM algorithm unable to segment tissue regions of MR images accurately …
A new method for MR grayscale inhomogeneity correction
MA Balafar, AR Ramli, S Mashohor - Artificial Intelligence Review, 2010 - Springer
Intensity inhomogeneity is a smooth intensity change inside originally homogeneous
regions. Filter-based inhomogeneity correction methods have been commonly used in …
regions. Filter-based inhomogeneity correction methods have been commonly used in …
Research on a Pulmonary Nodule Segmentation Method Combining Fast Self‐Adaptive FCM and Classification
H Liu, CM Zhang, ZY Su, K Wang… - … methods in medicine, 2015 - Wiley Online Library
The key problem of computer‐aided diagnosis (CAD) of lung cancer is to segment
pathologically changed tissues fast and accurately. As pulmonary nodules are potential …
pathologically changed tissues fast and accurately. As pulmonary nodules are potential …