[HTML][HTML] Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences

F Prinzi, A Orlando, S Gaglio, S Vitabile - Expert Systems with Applications, 2024 - Elsevier
Breast cancer is the most prevalent disease that poses a significant threat to women's
health. Despite the Dynamic Contrast-Enhanced MRI (DCE-MRI) has been widely used for …

Automated 3D Tumor Segmentation from Breast DCE-MRI using Energy-Tuned Minimax Optimization

P Babu, M Asaithambi, SM Suriyakumar - IEEE Access, 2024 - ieeexplore.ieee.org
Breast cancer (BC) is a multifaceted genetic malignancy that accounts for the majority of
cancer fatalities in women. Dynamic Contrast-Enhanced Magnetic Resonance Imaging …

BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark

A Bilic, C Chen - arXiv preprint arXiv:2404.13756, 2024 - arxiv.org
Binary breast cancer tumor segmentation with Magnetic Resonance Imaging (MRI) data is
typically trained and evaluated on private medical data, which makes comparing deep …

[引用][C] Editorial for “3D Breast Cancer Segmentation in DCE‐MRI Using Deep Learning With Weak Annotation”

L Nogueira, N Adubeiro… - Journal of Magnetic …, 2024 - Wiley Online Library