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Updated: Jul 24, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Published on: November 30, 2022

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STNet:通过以知识为导向的图像识别双流网络进行形状和纹理联合学习

Xijing Wang1, Hongcheng Han1, Mengrui Xu1,2

  • 1National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China.

Frontiers in neuroscience
|July 3, 2023
PubMed
概括

这项研究引入了一个新的双流网络,通过增强形状特征表示来改进医疗图像分析. 该方法有效地区分形状和纹理,在黑色素瘤识别任务中表现优于现有的算法.

关键词:
类似于大脑的信息处理.计算机辅助诊断是指计算机辅助的诊断.功能融合功能融合功能图像识别功能 图像识别功能共同学习 共同学习两个流网络网络的两个流.

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