"
Can semi-quantitative evaluation of uncertain (type II) time-intensity curves improve diagnosis in breast DCE-MRI?"
written by Roberta Fusco, Salvatore Filice, Vincenza Granata, Ylenia Mandato, Annamaria Porto, Massimiliano D’Aiuto, Massimo Rinaldo, Maurizio Di Bonito, Mario Sansone, Carlo Sansone, Antonio Rotondo, Antonella Petrillo Petrillo,
published by
Journal of Biomedical Science and Engineering,
Vol.6 No.3A, 2013
has been cited by the following article(s):
[1]
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Quantitative perfusion parameters of benign inflammatory breast pathologies: A descriptive study
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[2]
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[3]
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Discrimination of Benign and Malignant Suspicious Breast Tumors Based on Semi-Quantitative DCE-MRI Parameters Employing Support Vector Machine
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A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processing
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[8]
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Analysis of contrast-enhanced medical images.
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[9]
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Models and methods for analyzing DCE‐MRI: A review
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[10]
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ANALYSIS OF CONTRAST-ENHANCED MEDICAL IMAGES
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[11]
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[1]
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Quantitative perfusion parameters of benign inflammatory breast pathologies: A descriptive study
Clinical Imaging,
2020
DOI:10.1016/j.clinimag.2020.08.024
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[2]
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Characterization of breast lesion using T 1 -perfusion magnetic resonance imaging: Qualitative vs. quantitative analysis
Diagnostic and Interventional Imaging,
2018
DOI:10.1016/j.diii.2018.05.006
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[3]
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Integration of DCE-MRI and DW-MRI Quantitative Parameters for Breast Lesion Classification
BioMed Research International,
2015
DOI:10.1155/2015/237863
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[4]
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A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processing
Journal of Reliable Intelligent Environments,
2015
DOI:10.1007/s40860-015-0007-1
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[5]
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Models and methods for analyzing DCE-MRI: A review
Medical Physics,
2014
DOI:10.1118/1.4898202
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[6]
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Models and methods for analyzing DCE‐MRI: A review
Medical Physics,
2014
DOI:10.1118/1.4898202
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[7]
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Use of Tracer Kinetic Models for Selection of Semi-Quantitative Features for DCE-MRI Data Classification
Applied Magnetic Resonance,
2013
DOI:10.1007/s00723-013-0481-7
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