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Modality-specific information disentanglement from multi-parametric MRI for breast tumor segmentation and computer-aided diagnosis
Breast cancer is becoming a significant global health challenge, with millions of fatalities
annually. Magnetic Resonance Imaging (MRI) can provide various sequences for …
annually. Magnetic Resonance Imaging (MRI) can provide various sequences for …
The evolution and clinical impact of deep learning technologies in breast MRI
The integration of deep learning (DL) in breast MRI has revolutionized the field of medical
imaging, notably enhancing diagnostic accuracy and efficiency. This review discusses the …
imaging, notably enhancing diagnostic accuracy and efficiency. This review discusses the …
Self-paced selective learning with dual-domain augmentation for cardiac MRI segmentation
L Zhou, Y Zhang, Y Liu, Z Shi - Biomedical Signal Processing and Control, 2025 - Elsevier
Accurate segmentation of regions of interest (ROIs) from cardiac magnetic resonance (CMR)
images is fundamental for cardiac status assessment and disease diagnosis. Considering …
images is fundamental for cardiac status assessment and disease diagnosis. Considering …
Current Methodology Towards a Standardized and Automated Background Parenchymal Enhancement Categorization: A Literature Review
C Miguel Palao - 2025 - studenttheses.uu.nl
Background parenchymal enhancement (BPE) is defined as the amount of enhancement
observed in normal fibroglandular tissue (FGT) after contrast administration in breast MR …
observed in normal fibroglandular tissue (FGT) after contrast administration in breast MR …