[HTML][HTML] Detection and characterization of MRI breast lesions using deep learning
… Here, we present an innovative tool for imaging interpretation of breast MRI examinations
that … and size of breast lesions. We facilitated learning by decomposing classification into two …
that … and size of breast lesions. We facilitated learning by decomposing classification into two …
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches
… classification of breast MRI lesions using … breast MRI lesions, which combines the
morphological and kinetics information in a single multi-channel image. We compare two …
morphological and kinetics information in a single multi-channel image. We compare two …
Classification of hypervascularized lesions in CE MR imaging of the breast
F Baum, U Fischer, R Vosshenrich, E Grabbe - European radiology, 2002 - Springer
The purpose of this paper is to define and evaluate a classification category for contrast-enhanced
(CE) MR imaging of the breast based on the BI-RADS mammographic categories of …
(CE) MR imaging of the breast based on the BI-RADS mammographic categories of …
Artificial intelligence–based classification of breast lesions imaged with a multiparametric breast MRI protocol with ultrafast DCE-MRI, T2, and DWI
… lesions from the MRI studies before 2012 that were classified as … lesions and thus creating
an artificial specificity of 0.284 (59/208). In total, we included 576 lesions from 492 breast MRI …
an artificial specificity of 0.284 (59/208). In total, we included 576 lesions from 492 breast MRI …
Classification of breast MRI lesions using a backpropagation neural network (BNN)
L Arbach, A Stolpen… - 2004 2nd IEEE …, 2004 - ieeexplore.ieee.org
… levels of experience in breast MRI to classify the same datasets and … of classification for
benign lesions can’t be distinguished from the distribution of classification for malignant lesions …
benign lesions can’t be distinguished from the distribution of classification for malignant lesions …
Machine learning in breast MRI
… to breast MRI continue to expand rapidly as increasingly accurate 3D breast and lesion …
detection, lesion classification, radiogenomics, and prediction of response to neoadjuvant …
detection, lesion classification, radiogenomics, and prediction of response to neoadjuvant …
Pharmacokinetic mapping for lesion classification in dynamic breast MRI
MC Schabel, GR Morrell, KY Oh… - Journal of Magnetic …, 2010 - Wiley Online Library
… classification of breast lesions is practical on modern MRI … breast MRI, while specificity is
significantly higher. J. Magn. … BREAST MRI INTERPRETATION involves the evaluation of …
significantly higher. J. Magn. … BREAST MRI INTERPRETATION involves the evaluation of …
Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer‐aided diagnosis (CAD) system
LA Meinel, AH Stolpen, KS Berbaum… - Journal of Magnetic …, 2007 - Wiley Online Library
… was evaluated solely on breast lesions that were mass-like and exhibited enhancement
after intravenous contrast administration—features typical of invasive breast cancer. However, …
after intravenous contrast administration—features typical of invasive breast cancer. However, …
Specificity enhancement in classification of breast MRI lesion based on multi-classifier
… methods and several classifiers utilized together for breast MRI lesion classification. … in
evaluating lesion morphology on breast MRI is to classify the lesion as a mass, a focal lesion, or a …
evaluating lesion morphology on breast MRI is to classify the lesion as a mass, a focal lesion, or a …
[HTML][HTML] Breast lesion classification with multiparametric breast MRI using radiomics and machine learning: A comparison with radiologists' performance
I Daimiel Naranjo, P Gibbs, JS Reiner, R Lo Gullo… - Cancers, 2022 - mdpi.com
… radiomic features extracted from the multiparametric MRI. The area under the receiver … MRI
could assist in breast lesion discrimination, especially for less experienced readers of breast …
could assist in breast lesion discrimination, especially for less experienced readers of breast …