IFCM Based Segmentation Method for Liver Ultrasound Images

A hybrid segmentation method based on Gaussian kernel fuzzy clustering and region based active contour model for ultrasound medical images

(2015) Deep Gupta et al.   Biomedical Signal Processing and Control

Image object extraction with shape and edge-driven Markov random field model

(2014) Xili Wang et al.   IET Image Processing

Neural Network Ensemble Based CAD System for Focal Liver Lesions from B-Mode Ultrasound

(2014) Jitendra Virmani et al.   JOURNAL OF DIGITAL IMAGING

A Hybrid Method Based on Fuzzy Clustering and Local Region-Based Level Set for Segmentation of Inhomogeneous Medical Images

(2014) Maryam Rastgarpour et al.   JOURNAL OF MEDICAL SYSTEMS

An ensemble-based data fusion approach for characterizing ultrasonic liver tissue

(2013) Wen-Li Lee   APPLIED SOFT COMPUTING

Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images

(2013) A. Ghosh et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Active contour driven by local divergence energies for ultrasound image segmentation

(2013) Jianjun Yuan   IET Image Processing

Multiple ROI selection based focal liver lesion classification in ultrasound images

(2012) Jae Hyun Jeon et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation

(2012) Maoguo Gong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Active contour driven by region-scalable fitting and local Bhattacharyya distance energies for ultrasound image segmentation

(2012) J. Yuan   IET Image Processing

Neural network based focal liver lesion diagnosis using ultrasound images

(2011) Deepti Mittal et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class

(2009) Xin Liu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A fully automated algorithm under modified FCM framework for improved brain MR image segmentation

(2009) Karan Sikka et al.   MAGNETIC RESONANCE IMAGING

Computer-Assisted Segmentation of White Matter Lesions in 3D MR Images Using Support Vector Machine

(2008) Zhiqiang Lao et al.   ACADEMIC RADIOLOGY

An MRF spatial fuzzy clustering method for fMRI SPMs

(2008) Lili He et al.   Biomedical Signal Processing and Control

A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints

(2008) Jianzhong Wang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation

(2008) S.P. Chatzis et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Minimization of Region-Scalable Fitting Energy for Image Segmentation

(2008) Chunming Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction

(2008) Miin-Shen Yang et al.   PATTERN RECOGNITION LETTERS

MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach

(2008) Liang Liao et al.   PATTERN RECOGNITION LETTERS