脉络膜丛(CP)是产生大部分脑脊液(CSF)的大脑的心室的结构。几个淘汰的课后和体内研究已经指出了它们在多发性硬化症(MS)中的炎症过程中的作用。因此,来自MRI的CP的自动分割具有高价值,用于研究其在大型患者的大队列中的特征。据我们所知,CP分段唯一可自由的工具是FreeSurfer,但其对该特定结构的准确性很差。在本文中,我们建议自动从非对比度增强的T1加权MRI自动分段。为此,我们介绍了一种基于轴向多层截图(MLP)的组件的“Axial-MLP”的新模型。这是最近的作品启发,表明,变压器的自我注意层可以用MLPS取代。系统地与标准的3D U-Net,NNU-Net,FreeSurfer和Fastsurefer系统地进行系统地进行系统地进行系统地进行。对于我们的实验,我们利用141个受试者的数据集(44个对照和97名MS患者)。我们展示所有测试的深度学习(DL)方法优于FreeSurfer(DIC为0.7的骰子,对于FreeSurfer的DL 0.33)。 Axial-MLP与U-Net竞争竞争,即使它略有略低于准确。我们纸张的结论是两倍:1)学习的深度学习方法可能是研究CP在MS患者的大型队列中的有用工具; 2)〜Axial-MLP是用于这种任务的卷积神经网络的潜在可行的替代方案,尽管它可以从进一步的改进中受益。
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We present a method for controlling a swarm using its spectral decomposition -- that is, by describing the set of trajectories of a swarm in terms of a spatial distribution throughout the operational domain -- guaranteeing scale invariance with respect to the number of agents both for computation and for the operator tasked with controlling the swarm. We use ergodic control, decentralized across the network, for implementation. In the DARPA OFFSET program field setting, we test this interface design for the operator using the STOMP interface -- the same interface used by Raytheon BBN throughout the duration of the OFFSET program. In these tests, we demonstrate that our approach is scale-invariant -- the user specification does not depend on the number of agents; it is persistent -- the specification remains active until the user specifies a new command; and it is real-time -- the user can interact with and interrupt the swarm at any time. Moreover, we show that the spectral/ergodic specification of swarm behavior degrades gracefully as the number of agents goes down, enabling the operator to maintain the same approach as agents become disabled or are added to the network. We demonstrate the scale-invariance and dynamic response of our system in a field relevant simulator on a variety of tactical scenarios with up to 50 agents. We also demonstrate the dynamic response of our system in the field with a smaller team of agents. Lastly, we make the code for our system available.
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