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Updated: Feb 14, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

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MR画像からの3D脊椎セグメンテーションのためのグラフ誘導周波数強化状態空間ネットワーク

Linghui Hong1,2,3, Zhengchao Zhou1,2,3, Wanbo Xu4,5

  • 1Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao, China.

Journal of applied clinical medical physics
|February 12, 2026
PubMed
まとめ

新しいグラフ誘導周波数強化状態宇宙ネットワーク (GF-SSNet) は,正確な3Dマルチモダル脊椎MRIセグメンテーションを達成しています. この方法は,より良いコンピュータ支援脊髄疾患診断のためのグローバルモデリングと境界線の描写を改善します.

キーワード:
周波数ダイナミックコンボリューショングラフ コンボリューションネットワーク脊髄MRIセグメンテーションステート・スペース・モデル

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