Journal of Signal and Information Processing

Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org
"Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set"
written by Xuechen Li, Suhuai Luo, Jiaming Li,
published by Journal of Signal and Information Processing, Vol.4 No.3B, 2013
has been cited by the following article(s):
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[1] A lightweight neural network with multiscale feature enhancement for liver CT segmentation
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[2] A Framework for Active Contour Initialization with Application to Liver Segmentation in MRI
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[3] Do we need attentional suppression?
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[4] An automated liver segmentation in liver iron concentration map using fuzzy c-means clustering combined with anatomical landmark data
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[5] Liver Tumor Segmentation and Classification: A Systematic Review
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[6] Fuzzy Set based Mathematical clustering algorithms in high dimensional data analysis
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[7] Classification Methods in Image Analysis with a Special Focus on Medical Analytics
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[8] Classification Methods in Image Analysis with a Special Focus on Medical
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[9] Segmentation of Skin Cancer Lesions Depend on Hybrid Artificial Swarm Intelligence Algorithm to Improve the Predictions of Survival Rate.
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[10] Liver segmentation using 3D CT scans.
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[11] Automatic Liver Segmentation on CT Images
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[12] Level Set Based Liver Segmentation and Classification by SVM
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[13] Liver segmentation in MRI images based on whale optimization algorithm
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[14] A Hybrid Automatic Segmentation Method of Blood Vessels in CT Scan Images of Liver
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[15] CT Liver Classification based on Lion Optimization Algorithm
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[16] Histopathological Image Analysis for cancer detection
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[17] Active Contour with Contrast Enhancement for Automatic Liver and Tumor Segmentation
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[18] AUTOMATIC SEGMENTATION OF LIVER TUMOUR IN CT IMAGES USING SPATIAL FCM AND UNIFIED LEVEL SET METHOD
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[19] New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy-Means Method
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[20] Wolf Local Thresholding Approach for Liver Image Segmentation in CT Images
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[21] Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection
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[22] Artificial Bee Colony Based Segmentation for CT Liver Images
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[23] Machine learning-based lung nodule detection on chest x-ray radiographs
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[24] Incorporating Priori Structure Knowledge in Level Set Method-Based Algorithm for 11C-Pittsburgh Compound B Positron Emission Tomography Segmentation
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[25] 基于 BF-WS 的肝脏 CT 图像自动分割
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[26] A Novel Segmentation Approach for Brain Tumor in MRI
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[27] AModified DISTANCE REGULARIZED LEVEL SET MODEL FOR LIVER SEGMENTATION FROM CT IMAGES
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[28] A MODIFIED DISTANCE REGULARIZED LEVEL SET MODEL FOR LIVER SEGMENTATION FROM CT IMAGES
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[29] Automatic liver segmentation from CT images using latent semantic indexing
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[30] Gray Matter and White Matter Segmentation from MRI Brain Images Using Clustering Methods
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[31] Review methods for image segmentation from computed tomography images
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[32] Paraspinal Muscle Segmentation in CT Images Using GSM-Based Fuzzy C-Means Clustering
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[33] Liver segmentation based on SKFCM and improved GrowCut for CT images
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[34] Segmentation d'images et Morphologie Mathematique: Application a l'imagerie medicale de l'abdomen.
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[35] High resolution free-view interpolation of planar structure
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