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Updated: May 6, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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基于Kernelized加权的局部信息的图像模糊集群,具有多变量变数和修改的总Bregman分歧度量,用于脑MRI图像分割

Himanshi Lohit1, Dhirendra Kumar1

  • 1Department of Applied Mathematics, Delhi Technological University, 110042, New Delhi, India.

Computers in biology and medicine
|June 17, 2025
PubMed
概括

这项研究引入了一种新的图像模糊集 (PFS) 聚类方法,用于强大的噪音图像细分. 它提高了准确性和空间一致性,在测试中表现优于深度学习模型.

关键词:
图像 图像 图像 图像 图像深度学习方法 深度学习方法核心的功能是核心的功能.医疗图像细分 医疗图像细分图片模糊的集群化图片模糊的集群化总的布雷格曼分歧.有权重的当地信息.

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