et al. All-optical spiking neurosynaptic networks with self-learning capabilities. Nature 569, 208–214 (2019). Article CAS ADS PubMed PubMed Central Google Scholar Miscuglio, M. et al. All-optical nonlinear activation function for photonic neural networks. Opt. Mater. Express 8, 3851–3863...
[2]Yang Y , Wang Z H , Jin S , et al. Opposite monosynaptic scaling of BLP–vCA1 inputs governs hopefulness- and helplessness-modulated spatial learning and memory[J]. Nature Communications, 2016, 7:11935. 如果对于ImageJ使用有什么问题可以私信我,或者给我发邮件:zhaoyc9@163.com 更多教程可...
Chen, C. et al. Fast and scalable search of whole-slide images via self-supervised deep learning. Nat. Biomed. Eng. 6, 1420–1434 (2022). Article PubMed PubMed Central Google Scholar Gamper, J., Alemi Koohbanani, N., Benet, K., Khuram, A. & Rajpoot, N. PanNuke: An Open Pan...
Nature 521, 436–444 (2015). Article CAS PubMed Google Scholar Hassabis, D. et al. Neuroscience-Inspired Artificial Intelligence. Neuron 95, 245–258 (2017). Article CAS PubMed Google Scholar Yang, G. R. & Wang, X. J. Artificial neural networks for neuroscientists: a primer. Neuron ...
Another family of methods includes the parametric approaches. In this case, the neural network learns the coefficients of a parametric color transformation to be applied to the low quality input image to obtain the enhanced version. Gharbi et al. developed an architecture able to learn the coeffic...
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification(Nature Scientific Data'23) or its conference version: MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis(ISBI'21) ...
The Image (1975) *** (out of 4) Jean (Carl Parker) runs into an old friend (Marilyn Roberts) at a party and soon she's teaching him about her slave Anne (Rebecca Brooke) and before long both are taking part in the S&M practices. Radley Metzger's erotic film isn't going to be...
Highly reflective surfaces are notorious in the field of depth sensing and three-dimensional (3D) imaging because they can cause severe errors in perception of the depth. Despite recent progress in addressing this challenge, there are still no robust and
Ronneberger et al.10 recommended the use of the Unet model, which employs an encoder-decoder architecture, for medical image segmentation. Alom et al.11 introduced a recursive residual network based on Unet to improve the feature representation of retinal vascular images and enhance segmentation ...
The CG-SBIR focuses on sketch-to-nature image retrieval at the species level, while FG-SBIR focuses on sketch-to-nature image retrieval at the instance level. For CG-SBIR, Sangkloy et al. [22] proposed a triplet network to make the distance between the same class closer and the distance...