… as⁃ sessment of deep learning algorithms for detection of lymph node metastases in women
with breast cancer [J]… Integrating spatial gene expression and breast tumour morphology via …

… Using deep learning to assist doctors in diagnosis is … : reducing spatial redundancy in
convolutional neural networks … in CT using cascaded fully convolutional neural networks and 3d …

… key to controlling the spread of this disease is early detection. … In recent years, deep learning
has made great progress in … Spatial pyramid pooling in deep convolutional networks for …

… spatial information of detectors, and is an imaging technique with high sensitivity, no specific
labeling, and can monitor the spatial … option for mapping the spatial distribution and content …

… Ideally, we hope to prevent hypersynchronization of neural networks, which will help to …
cannot occur without the evolution and spread of discharges among neurons within susceptible …

… Diagnostic assessment of deep learning algorithms for detection of lymph node metastases
in women with breast cancer. JAMA, 2017… based on spatial patterns of lymphocyte infiltration. …

… deep learning, this paper reviews classical deep learning network models, focuses on the
latest application of deep … :a convolution neural network classifier with spatial domain and tex…

… , convolutional neural networks, long- and short-term memory networks, and other deep
learning … In the longitudinal medical image analysis using 4D data, deep learning uses spatial …

… Clinical-grade computational pathology using weakly supervised deep learning on
whole slide images[J]. Nat Med, 2019, 25: 1301-1309. DOI:10.1038/s41591-019-0508-1 …

… the convolutional neural network (CNN) more suitable for the intelligent diagnosis and …
module, including channel attention mechanism and spatial attention mechanism, so that the …