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Apr, 2023
NUMSnet: 3D医学影像堆栈的分层多类别分割网络
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks
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Sohini Roychowdhury
TL;DR
本研究提出一种名为NUMSnet的新型Unet模型,通过嵌套层传输像素邻域特征,实现具有最少训练数据的多类语义分割,可用于标准化多种体积图像堆的语义分割,从而显著降低计算机辅助检测和治疗的成本、时间和观察者间可变性。
Abstract
semantic segmentation
for medical 3D image stacks enables accurate volumetric reconstructions, computer-aided diagnostics and follow up treatment planning. In this work, we present a novel variant of the
unet model
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