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Kinetic features of invasive breast cancers on computer-aided diagnosis using 3T MRI data: Correlation with clinical and pathologic prognostic factors
Sung Eun Song
,
Kyu Ran Cho
*
, Bo Kyoung Seo
,
Ok Hee Woo
,
Seung Pil Jung
,
Deuk Jae Sung
*
Corresponding author for this work
Department of Medicine
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Citations (Scopus)
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Dive into the research topics of 'Kinetic features of invasive breast cancers on computer-aided diagnosis using 3T MRI data: Correlation with clinical and pathologic prognostic factors'. Together they form a unique fingerprint.
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Keyphrases
Computer-aided Diagnosis (CADx)
100%
Kinetic Characteristics
100%
Prognostic Factors
100%
Pathologic
100%
Magnetic Resonance Imaging Data
100%
3T Magnetic Resonance Imaging
100%
Invasive Breast Cancer
100%
Data Correlation
100%
Peak Enhancement
66%
Histological Grade
50%
Confidence Interval
50%
Odds Ratio
50%
Magnetic Resonance Imaging
33%
Highest Peak
33%
Ki-67
33%
Pathologic Factors
33%
Ki-67 Index
33%
Tumor
16%
Regression Analysis
16%
Tumor Size
16%
Breast Cancer
16%
Clinical Application
16%
Breast Cancer Patients
16%
Binary Logistic Regression Analysis
16%
Index Size
16%
Spearman Correlation Test
16%
Prognosis Assessment
16%
Medicine and Dentistry
Breast Cancer
100%
Angiography
100%
Prognostic Factor
100%
Magnetic Resonance Imaging
100%
Computer-Aided Diagnosis
100%
Odds Ratio
60%
Neoplasm
40%
Magnetic Resonance Imaging
20%
Logistic Regression Analysis
20%