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一个新的架构结合卷积和基于变压器的网络,用于CT图像上的自动3D多器官细分

Chengyin Li1, Hassan Bagher-Ebadian2,3,4,5, Rafi Ibn Sultan1

  • 1College of Engineering - Dept. of Computer Science, Wayne State University, Detroit, Michigan, USA.

Medical physics
|September 22, 2023
PubMed
概括

一个新的深度学习模型,SwinAttUNet,在CT扫描中有效地分割前列腺和周围器官. 这种新架构结合了变压器和CNN功能,提高了医疗图像细分的准确性.

关键词:
3D细分是指三维的细分.这就是为什么CTCTCTCTCTCT深度卷积网络是一个深度卷积网络.多个机关的多个机关.变压器网络的变压器网络.

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