Joint transformer and multi-scale CNN for DCE-MRI breast cancer segmentation

C Qin, Y Wu, J Zeng, L Tian, Y Zhai, F Li, X Zhang - Soft Computing, 2022 - Springer
… segmentation of breast cancer tumors. Considering that breast cancer lesions usually
appear in the breast area, we propose a two-stage breast cancer segmentation framework to …

A Gradient‐Based Approach for Breast DCEMRI Analysis

L Losurdo, TMA Basile, A Fanizzi… - BioMed Research …, 2018 - Wiley Online Library
… on MRI after … breast tissue which are related to breast cancer risk [6, 7]. Indeed, the time-signal
intensity curve (or kinetic curve) in breast Dynamic Contrast Enhancement MRI (DCE-MRI) …

Response predictivity to neoadjuvant therapies in breast cancer: a qualitative analysis of background parenchymal enhancement in DCE-MRI

D La Forgia, A Vestito, M Lasciarrea… - Journal of Personalized …, 2021 - mdpi.com
… data from a sample of 80 patients diagnosed with breast cancer from stage I to stage III,
according … For patients with breast cancer, it went as follows: luminal A-like, luminal B-like, HER2-…

Histogram analysis of quantitative pharmacokinetic parameters on DCE-MRI: correlations with prognostic factors and molecular subtypes in breast cancer

K Nagasaka, H Satake, S Ishigaki, H Kawai… - Breast Cancer, 2019 - Springer
… image database at our institution identified 211 female patients with breast cancer who
underwent DCE-MRI on a 3-T clinical MRI system, for preoperative evaluations, from July 2012 …

Radiomics analysis based on automatic image segmentation of DCEMRI for predicting triple‐negative and nontriple‐negative breast cancer

M Ma, L Gan, Y Jiang, N Qin, C Li… - … Methods in Medicine, 2021 - Wiley Online Library
… from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) could be used
to differentiate triple-negative breast cancer (TNBC) and nontriple-negative breast cancer (non-…

Prediction of breast cancer molecular subtypes using DCE-MRI based on CNNs combined with ensemble learning

R Sun, Z Meng, X Hou, Y Chen, Y Yang… - Physics in Medicine …, 2021 - iopscience.iop.org
… -MR post-contrast sequence images to distinguish two kinds of breast cancerdynamic
contrast enhanced-magnetic resonance imaging and molecular information of 266 breast cancer

Evaluation of response to neoadjuvant chemoradiotherapy for locally advanced breast cancer with dynamic contrast-enhanced MRI of the breast

PJ Drew, MJ Kerin, T Mahapatra, C Malone… - European Journal of …, 2001 - Elsevier
dynamic contrast-enhanced MRI (DCE-MRI) of the breast for the planning of surgical intervention
following neoadjuvant therapy for locally advanced breast cancer … -up by DCE-MRI in …

… the logistic model of tumor growth by DW-MRI and DCE-MRI data to predict treatment response and changes in breast cancer cellularity during neoadjuvant …

NC Atuegwu, LR Arlinghaus, X Li, AB Chakravarthy… - Translational …, 2013 - Elsevier
… preliminary results in breast cancer patients undergoing NAC, in which the DW-MRIs for
the … In this contribution, we show preliminary results indicating how serial DW- and DCE-MRI

Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer

N Onishi, M Sadinski, MC Hughes, ES Ko… - Breast Cancer …, 2020 - Springer
dynamic contrast-enhanced magnetic resonance imaging (… to standard DCE-MRI in
differentiating malignant from benign breastDCE-MRI-derived kinetic parameters and breast

Early prediction of breast cancer therapy response using multiresolution fractal analysis of DCE-MRI parametric maps

A Machireddy, G Thibault, A Tudorica, A Afzal… - Tomography, 2019 - mdpi.com
… analysis of voxel-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)
parametric maps can provide early prediction of breast cancer response to neoadjuvant …