… breast cancer image classification by deep neural network … deep convolutional neural
networks for segmentation of white … ensemble of CNNs for 3D whole brain MRI segmentation[J]. …

… application of deep learning techniques in breast cancer diagnosis … and ensemble learning
in digital mammogram[J]. IEEE … learning using a deep convolutional neural network and color …

… by using convolutional neural networks. Radiology,2017,284(… pulmonary lesions using visual
attention networks. Medical … segmentation of breast ultrasound images with deep learning. …

… deep models, including convolutional neural networks, fully … in pathology image segmentation
using deep learning. Key words… : Deep learning from crowds for mitosis detection in breast …

… and its medical image segmentation techniques, this paper … 是卷积神经网络（convolutional
neural network，CNN），CNN [1… ，将其余卷积层替换为3D密集连接模块，将3D密集块下采样与上…

… 首先,用 3D 径向梯度指数分割得到一个粗糙的轮廓;然后,用基于3D 水平集的主动轮廓算法对
边缘进行细化.算法用肿 块的中心点作为输入,设定3 个边缘估计停止标准:(1) 体积的变化范围;(2) 每…

… diagnosis algorithm of convolutional neural network (CNN) for … Ensemble of multiscale
fine-tuning convolutional neural … automated breast ultrasound images[J]. Medical Image Analysis…

… An ensemble approach for patient prognosis of head and … MRI based on multimodal
convolutional neural networks[J]. Physics … neural network for anatomy segmentation in whole …

… Abstract: At present, breast cancer, with the highest … deep learning can automatically detect
lesions on non-invasive imaging such as mammography X-ray, breast ultrasound, and breast …

… (3D convolutional neural networks, 3D CNN) 进行假阳性去除. 相对 于2D CNN, 3D CNN 能够
使用3D … 了使用深度卷积神经 网络(Deep convolution neural networks) 进行计算 机辅助检测的…