… to use a multi-view deep convolutional neural network that handles a set of high-resolution …
We evaluate it on largescale mammography-based breast cancer screening (BI-RADS …

… Our study is motivated by recent success of using DBT in breast cancer screening and successful
… a multi-view CNN (MV-CNN) as a classification model by using 82,943 high resolution …

… breast cancer screening, we investigated the study and understanding of the fundamental
properties of deep convolutional networks. … purpose of deep convolutional neural networks for …

… comprised of multiple convolutional neural networks (CNN) paths … variety of recent deep
learning works for breast cancer analysis, … detail characteristic of highresolution mammograms is …

… from multi-view images that is crucial for breast cancer … a multi-view deep CNN that handles
a set of high-resolution … using fully convolutional neural network and deeply supervised nets (…

… As an effective breast cancer screening approach, … [17] used a depth-wise V-net 64
convolutional neural network to … Although mammogram has high resolution, the lesion regions …

… The architecture is designed to manage high-resolution input without the need for down-scaling
of the input mammograms [16]. For each of the views there is a dedicated 22-layer …

… deeper into understanding and improving using both views in deep learning for breast cancer
screening. … An interpretable classifier for high-resolution breast cancer screening images …

… Recently, applying deep learning models to develop multi-view CAD schemes of … multi-view
mammogram analysis by finetuning ImageNet-pretrained convolutional neural networks (…

… in breast cancer classification in automated breast ultrasound … a convolutional neural network
(CNN) that classifies breast … aid of the multi-view convolutional neural network (CNN) A. *…