a multi-scale iterative aggregation U-network,which aims to achieve accurate and efficient retinal vessel segmentation for ophthalmic auxiliary diagnosis while ensuring that the network has low computational complexity to adapt to mobile terminals.In this way,users do not need to upload the data to ...
Their work proposes a hierarchical fully convolutional CNN (H-FCN) to automatically identify discriminative local patches and regions in whole brain sMRI, from which multi-scale feature representations can be jointly learned and fused to construct classification models. This work enables interactive ...
we use it to test the ability for these molecules to slow the aggregation of αS induced by DLB brain material. As a negative control, samples from patients with a tauopathy (corticobasal
respectively. Note that the most potent molecules exhibited complete inhibition of aggregation over the timescale observed, so the normalizedt1/2is presented as the whole duration of the experiment.b, Flow of potent molecules (+) and negatives (−) in the project starting from the close search...
& Wu, S. A multi-timescale energy scheduling model for microgrid embedded with differentiated electric vehicle charging management strategies. Sustain. Cities Soc. 101, 105123. https://doi.org/10.1016/j.scs.2023.105123 (2024). Article Google Scholar Seyednouri, S. R. et al. Day-ahead ...
& Wu, S. A multi-timescale energy scheduling model for microgrid embedded with dif- ferentiated electric vehicle charging management strategies. Sustain. Cities Soc. 101, 105123. https://doi.org/10.1016/j.scs.2023. 105123 (2024). 59. Seyednouri, S. R. et ...
【6】 FE-Fusion-VPR: Attention-based Multi-Scale Network Architecture for Visual Place Recognition by Fusing Frames and Events标题:FE-Fusion-VPR:融合框架和事件的基于注意力的多尺度视觉位置识别网络体系结构链接:arxiv.org/abs/2211.1224作者:Kuanxu Hou,Delei Kong,Junjie Jiang,Hao Zhuang,Xinjie Huang,...
1. Introduction With the availability of large-scale datasets and the rapid development of deep convolutional architectures, super- vised learning exceeds in computer vision, voice, and ma- chine translation [23]. However, lack of data makes the ex-...
Multi-scale Model Simulat (SIAM). 4(2), 490–530 (2005) 15. H Takeda, S Farsiu, P Milanfar, Kernel regression for image processing and reconstruction. IEEE Trans Image Process. 16(2), 349–366 (2007) 16. A Buades, B Coll, JM Morel, Nonlocal image and movie denoising. Int J ...
Incorporation of new knowledge into neural networks with simultaneous preservation of the previous knowledge is known to be a nontrivial problem. This prob