为解决脑肿瘤早期检测中存在的辐射暴露、高成本和假阴性等问题，研究人员开发了一种结合深度最大输出网络(DMN)和视觉几何组-16(VGG-16)的混合模型DM-VGG-16。该模型通过NLM滤波预处理、TKFCM分割及多特征提取，实现了90.76%的准确率，为临床诊断提供了高效精准的 ...

Various deep neural networks CNN, and VGG-16 are used for the segmentation of brain tumor images which gives good results. This paper introduces a novel approach of Deep Residual Neural ...

Deployment of CNNs on embedded systems with lower processing power and smaller power budget ... times $ with only 13% additional FPGA resources with respect to the baseline GEMM-based architecture. We ...

One of the things missing in the first Android 16 QPR1 beta that was seen in leaked builds prior was a split between the notification tray and the Quick Settings panel. That’s still happening ...