[HTML][HTML] Detection and characterization of MRI breast lesions using deep learning

P Herent, B Schmauch, P Jehanno, O Dehaene… - Diagnostic and …, 2019 - Elsevier
… 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 …

Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches

G Amit, R Ben-Ari, O Hadad… - Medical Imaging …, 2017 - spiedigitallibrary.org
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 …

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 …

Artificial intelligence–based classification of breast lesions imaged with a multiparametric breast MRI protocol with ultrafast DCE-MRI, T2, and DWI

MU Dalmis, A Gubern-Mérida, S Vreemann… - Investigative …, 2019 - journals.lww.com
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

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

Machine learning in breast MRI

B Reig, L Heacock, KJ Geras… - Journal of magnetic …, 2020 - Wiley Online Library
… to breast MRI continue to expand rapidly as increasingly accurate 3D breast and lesion
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 MRIbreast MRI, while specificity is
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, …

Specificity enhancement in classification of breast MRI lesion based on multi-classifier

F Keyvanfard, MA Shoorehdeli, M Teshnehlab… - Neural Computing and …, 2013 - Springer
… 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 …

[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