… deep residual networks with integrated dilated convolutions … A 3D multi-view tumor
detection system for ABUS volumes was … and volumetric breast densitybased breast glandular …

… retrieval with multi-view classification. The Visual Computer 37(7), 1837– 1850 (2021) …
Multi-view mammographic density classification by dilated and attention-guided residual learning. …

… dilated and attention-guided residual learning techniques for multi-view mammographic density
classification. … -column deep CNNs in classifying breast density using 201,179 screening …

… for breast cancer diagnosis that is based on deep learning technology and cutting-edge
computer vision techniques. Mammography … tool to early detect breast lesions for reducing the …

… as the backbone for breast density classification using single view (CC or MLO) and … dilated
and attention-guided residual learning for multi-view density classification of mammograms. …

… CNNs for four distinct mammography tasks: (1) breast density classification, (2) … dilated
and attention-guided residual learning to improve the accuracy of traditional CNNs. The dilated …

… on dilated and attention-guided residual learning for the task of mammographic density
classification. … performance in breast density classification [30]. Sun et al. demonstrated a novel …

… discernible Mammography tasks:breast density classification, … ] employed dilated and
attention-guided residual learning on … Mammography (DDSM dataset) that consists of multi-view …

… Li, et al., Multi-view mammographic density classification by dilated and attention-guided
residual learning, in: IEEE/ACM Transactions on Computational Biology and Bioinformatics, …

… [7] proposed dilated convolutions and attention modules using ResNet-50 for MBD … MAC-GP)
method for breast density classification using mammographic images. The overall structure …