including under-age youths, allover Internet. It is also an aim for popular social network applications to contain no public pornographic materials. However, their frequent existence throughout all the Internet and huge amount of available images and videos there, make it impossible for manual monito...
L Zhao - 《Journal of Physics Conference》 被引量: 0发表: 2020年 Optimization neural networks for the segmentation of magnetic resonance images The application of the Hopfield neural network for the multispectral unsupervised classification of MR images is reported. Winner-take-all neurons were used...
A neural network with two layers of processing elements (PEs) is investigated to associate a group of 48x48 gray scale images with the corresponding 16x16 Chinese character bitmap images. The input layer has 2304 (48x48) PEs, and the output layer has 256 (16x16) PEs. In order to reduce...
Fig. 1: CellSighter—a convolutional neural network for cell classification. A Standard pipelines for cell classification take in multiplexed images and cell segmentation masks and generate an expression matrix. Cells in the matrix are annotated by rounds of clustering, gating, visual inspection and ...
Twin networks are particularly useful in cases where there are large numbers of classes with small numbers of observations of each. In such cases, there is not enough data to train a deep convolutional neural network to classify images into these classes. Instead, the twin network can determine...
The pathological identification of lymph node (LN) metastasis is demanding and tedious. Although convolutional neural networks (CNNs) possess considerable potential in improving the process, the ultrahigh-resolution of whole slide images hinders the deve
The linking-field neural network model of Eckhorn et al. [Neural Comput. 2, 293–307 (1990)] was introduced to explain the experimentally observed synchronous activity among neural assemblies in the cat cortex induced by feature-dependent visual activity. The model produces synchronous bursts of ...
suggests that the neural network approach is useful for the computer-aided diagnosis of coronary artery diseases in myocardial SPECT bull's-eye images.doi... H Fujita,T Katafuchi,T Uehara,... - 《Journal of Nuclear Medicine Official Publication Society of Nuclear Medicine》 被引量: 215发表: ...
A Convolutional Neural Network (CNN) is trained on a dataset consisting of images of leaves of both healthy and diseased rice plants. The images can be categorized into four different classes namely Brown-Spot, Rice Hispa, Leaf-Blast and Healthy. The dataset consists of 2092 different images wi...
neural activity in anesthetized and awake mice. A single natural image is linearly decodable from a surprisingly small number of highly responsive neurons, and the remaining neurons even degrade the decoding. Furthermore, these neurons reliably represent the image across trials, regardless of trial-to...