4.6 Article

A Vector Machine Formulation with Application to the Computer-Aided Diagnosis of Breast Cancer from DCE-MRI Screening Examinations

Related references

Note: Only part of the references are listed.
Article Radiology, Nuclear Medicine & Medical Imaging

Computer-aided diagnosis in breast DCE-MRI-Quantification of the heterogeneity of breast lesions

Uta Preim et al.

EUROPEAN JOURNAL OF RADIOLOGY (2012)

Article Radiology, Nuclear Medicine & Medical Imaging

A Margin Sharpness Measurement for the Diagnosis of Breast Cancer from Magnetic Resonance Imaging Examinations

Jacob E. D. Levman et al.

ACADEMIC RADIOLOGY (2011)

Article Radiology, Nuclear Medicine & Medical Imaging

Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis

A. Karahaliou et al.

BRITISH JOURNAL OF RADIOLOGY (2010)

Review Medicine, General & Internal

Systematic review: Using magnetic resonance imaging to screen women at high risk for breast cancer

Ellen Warner et al.

ANNALS OF INTERNAL MEDICINE (2008)

Article Automation & Control Systems

Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning

Thorsten Twellmann et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2008)

Article Computer Science, Interdisciplinary Applications

Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines

Jacob Levman et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2008)

Article Engineering, Biomedical

Evaluating an optical-flow-based registration algorithm for contrast-enhanced magnetic resonance imaging of the breast

A. L. Martel et al.

PHYSICS IN MEDICINE AND BIOLOGY (2007)

Article Oncology

American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography

Debbie Saslow et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2007)

Article Radiology, Nuclear Medicine & Medical Imaging

MR imaging - guided breast localization system with medial or lateral access

Petrina A. Causer et al.

RADIOLOGY (2006)

Review Radiology, Nuclear Medicine & Medical Imaging

Receiver operating characteristic analysis: A primer

J Eng

ACADEMIC RADIOLOGY (2005)

Article Computer Science, Artificial Intelligence

Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods

TW Nattkemper et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2005)

Article Medicine, General & Internal

Surveillance of BRCA1 and BRCA2 mutation carriers with magnetic resonance imaging, ultrasound, mammography, and clinical breast examination

E Warner et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2004)

Article Radiology, Nuclear Medicine & Medical Imaging

Improved artificial neural networks in prediction of malignancy of lesions in contrast-enhanced MR-mammography

TW Vomweg et al.

MEDICAL PHYSICS (2003)

Article Radiology, Nuclear Medicine & Medical Imaging

Classification of signal-time curves from dynamic MR mammography by neural networks

REA Lucht et al.

MAGNETIC RESONANCE IMAGING (2001)