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SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing Systems

Sensors (Basel, Switzerland), 2020-01, Vol.20 (2), p.432

2020

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Improving Image Correlation and Differentiation of 3D Endoluminal Lesions in the Air Spaces Using a Novel Target Gray Level Mapping Technique: A Preliminary Study of Its Application to Computed Tomographic Colonography and Comparison with Traditional Surface Rendering Method

Journal of medical and biological engineering, 2020, Vol.40 (6), p.868-879

2020

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Application of support-vector-machine-based method for feature selection and classification of thyroid nodules in ultrasound images

Pattern recognition, 2010-10, Vol.43 (10), p.3494-3506

2010

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Exploring the interior of 3D endoluminal lesions in the air spaces by a novel electronic biopsy technique: A preliminary study of endoluminal colon lesions

PloS one, 2023-05, Vol.18 (5), p.e0284142-e0284142

2023

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Application of gray level mapping in computed tomographic colonography: a pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesions

British journal of radiology, 2017-02, Vol.90 (1070), p.20160733-20160733

2017

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Application of communication ant colony optimization for lymph node classification

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012, p.1954-1959

2012

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A “Group Marching Cube” (GMC) Algorithm for Speeding up the Marching Cube Algorithm

IEICE Transactions on Information and Systems, 2011/06/01, Vol.E94.D(6), pp.1289-1298

2011

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Application of a Globally Optimal 3D Iterative Closest Point Point-Set Registration in CT Angiography

Journal of Radiological Science, 2021-03, Vol.46, p.39-43

2021

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Classification of the Thyroid Nodules Based on Characteristic Sonographic Textural Feature and Correlated Histopathology Using Hierarchical Support Vector Machines

Ultrasound in medicine & biology, 2010-12, Vol.36 (12), p.2018-2026

2010

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Tumor rupture as an initial manifestation of malignant mesonephric mixed tumor: a case report and review of the literature

International journal of clinical and experimental pathology, 2014-01, Vol.7 (3), p.1212-1217

2014

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Integrating PSONN and Boltzmann function for feature selection and classification of lymph nodes in ultrasound images

Journal of visual communication and image representation, 2013-01, Vol.24 (1), p.23-30

2013

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Characterization of the Major Histopathological Components of Thyroid Nodules Using Sonographic Textural Features for Clinical Diagnosis and Management

Ultrasound in medicine & biology, 2009-02, Vol.35 (2), p.201-208

2009

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Classification of the thyroid nodules using support vector machines

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.3093-3098

2008

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Diagnostic value of I-131 NP-59 SPECT/CT scintigraphy in patients with subclinical or atypical features of primary aldosteronism

BioMed research international, 2011-01, Vol.2011 (1), p.209787

2011

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Characterizing the major sonographic textural difference between metastatic and common benign lymph nodes using support vector machine with histopathologic correlation

Clinical imaging, 2012-07, Vol.36 (4), p.353-359.e2

2012

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The Representations of Sonographic Image Texture for Breast Cancer Using Co-occurrence Matrix

Journal of Medical and Biological Engineering, 2005-12, Vol.25 (4), p.193-199

2005

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Selecting the Universal Features for Breast Lumps with Different Acquisition Parameter Settings

2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2016, p.924-927

2016

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Vessel segmentation based on bone-to-bone elimination in brain CT angiography

2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2016, p.1-2

2016

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Feature Analysis and Classification of Lymph Nodes

Computational Collective Intelligence. Technologies and Applications, p.1-10

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Quantitative correlation between sonographic textural feature and histopathological components for breast cancer: preliminary results

Clinical imaging, 2008-03, Vol.32 (2), p.93-102

2008

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Quantitatively Characterizing the Textural Features of Sonographic Images for Breast Cancer With Histopathologic Correlation

Journal of ultrasound in medicine, 2005-05, Vol.24 (5), p.651-661

2005

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Applying the Particle Swarm Optimization and Boltzmann Function for Feature Selection and Classification of Lymph Node in Ultrasound Images

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008, Vol.1, p.55-60

2008

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Articular Cartilage Segmentation Based on Radial Transformation

2009 Ninth International Conference on Hybrid Intelligent Systems, 2009, Vol.1, p.239-242

2009

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AUTOMATIC THYROID NODULE SEGMENTATION AND COMPONENT ANALYSIS IN ULTRASOUND IMAGES

Biomedical engineering : applications, basis, and communications, 2010-04, Vol.22 (2), p.81-89

2010

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An Efficient SVM Based Lymph Node Classification Approach Using Intelligent Communication Ant Colony Optimization

Journal of medical imaging and health informatics, 2018-06, Vol.8 (5), p.1077-1086

2018

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SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing Systems

Improving Image Correlation and Differentiation of 3D Endoluminal Lesions in the Air Spaces Using a Novel Target Gray Level Mapping Technique: A Preliminary Study of Its Application to Computed Tomographic Colonography and Comparison with Traditional Surface Rendering Method

Application of support-vector-machine-based method for feature selection and classification of thyroid nodules in ultrasound images

Exploring the interior of 3D endoluminal lesions in the air spaces by a novel electronic biopsy technique: A preliminary study of endoluminal colon lesions

Application of gray level mapping in computed tomographic colonography: a pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesions

Application of communication ant colony optimization for lymph node classification

A “Group Marching Cube” (GMC) Algorithm for Speeding up the Marching Cube Algorithm

Application of a Globally Optimal 3D Iterative Closest Point Point-Set Registration in CT Angiography

Classification of the Thyroid Nodules Based on Characteristic Sonographic Textural Feature and Correlated Histopathology Using Hierarchical Support Vector Machines

Tumor rupture as an initial manifestation of malignant mesonephric mixed tumor: a case report and review of the literature

Integrating PSONN and Boltzmann function for feature selection and classification of lymph nodes in ultrasound images

Characterization of the Major Histopathological Components of Thyroid Nodules Using Sonographic Textural Features for Clinical Diagnosis and Management

Classification of the thyroid nodules using support vector machines

Diagnostic value of I-131 NP-59 SPECT/CT scintigraphy in patients with subclinical or atypical features of primary aldosteronism

Characterizing the major sonographic textural difference between metastatic and common benign lymph nodes using support vector machine with histopathologic correlation

The Representations of Sonographic Image Texture for Breast Cancer Using Co-occurrence Matrix

Selecting the Universal Features for Breast Lumps with Different Acquisition Parameter Settings

Vessel segmentation based on bone-to-bone elimination in brain CT angiography

Feature Analysis and Classification of Lymph Nodes

Quantitative correlation between sonographic textural feature and histopathological components for breast cancer: preliminary results

Quantitatively Characterizing the Textural Features of Sonographic Images for Breast Cancer With Histopathologic Correlation

Applying the Particle Swarm Optimization and Boltzmann Function for Feature Selection and Classification of Lymph Node in Ultrasound Images

Articular Cartilage Segmentation Based on Radial Transformation

AUTOMATIC THYROID NODULE SEGMENTATION AND COMPONENT ANALYSIS IN ULTRASOUND IMAGES

An Efficient SVM Based Lymph Node Classification Approach Using Intelligent Communication Ant Colony Optimization

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