about
Quantitative ultrasound analysis for classification of BI-RADS category 3 breast masses.Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States.Tamper detection and restoring system for medical images using wavelet-based reversible data embedding.Computer aided classification system for breast ultrasound based on Breast Imaging Reporting and Data System (BI-RADS).Comparative study of density analysis using automated whole breast ultrasound and MRIQuantitative analysis of breast echotexture patterns in automated breast ultrasound images.Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features.Intensity-Invariant Texture Analysis for Classification of BI-RADS Category 3 Breast Masses.Tumor detection in automated breast ultrasound images using quantitative tissue clustering.Quantitative analysis for breast density estimation in low dose chest CT scans.Automatic detection of microcalcifications in breast ultrasound.Computer-aided diagnosis of breast masses using quantified BI-RADS findings.Classification of breast tumors using elastographic and B-mode features: comparison of automatic selection of representative slice and physician-selected slice of images.Computer-aided classification of breast masses using speckle features of automated breast ultrasound images.Computer-aided diagnosis based on speckle patterns in ultrasound images.Analysis of elastographic and B-mode features at sonoelastography for breast tumor classification.Analysis of tumor vascularity using three-dimensional power Doppler ultrasound images.Three comparative approaches for breast density estimation in digital and screen film mammograms.2-D ultrasound strain images for breast cancer diagnosis using nonrigid subregion registration.Solid breast masses: classification with computer-aided analysis of continuous US images obtained with probe compression.Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors.Segmentation of breast tumor in three-dimensional ultrasound images using three-dimensional discrete active contour model.Retrieval technique for the diagnosis of solid breast tumors on sonogram.Computer-aided diagnosis of breast tumors with different US systems.Computer-aided diagnosis for 3-d power Doppler breast ultrasound.Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis.Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging.3-D US frame positioning using speckle decorrelation and image registration.Quantitative breast lesion classification based on multichannel distributions in shear-wave imaging.Computer-aided diagnosis applied to US of solid breast nodules by using neural networks.Whole breast lesion detection using naive bayes classifier for portable ultrasound.A new methodology based on q-entropy for breast lesion classification in 3-D ultrasound images.Finite-state vector quantization by exploiting interband and intraband correlations for subband image codingAdaptive edge-based side-match finite-state classified vector quantization with quadtree map
P50
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P50
description
researcher, ORCID id # 0000-0002-2086-0097
@en
wetenschapper
@nl
name
Ruey-Feng Chang
@ast
Ruey-Feng Chang
@en
Ruey-Feng Chang
@es
Ruey-Feng Chang
@nl
type
label
Ruey-Feng Chang
@ast
Ruey-Feng Chang
@en
Ruey-Feng Chang
@es
Ruey-Feng Chang
@nl
prefLabel
Ruey-Feng Chang
@ast
Ruey-Feng Chang
@en
Ruey-Feng Chang
@es
Ruey-Feng Chang
@nl
P2456
P31
P496
0000-0002-2086-0097