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Updated: Jan 29, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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Published on: August 13, 2014

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通过HHF-SAM进行直肠癌细分:一个层次的超列引导的融合细分任何模型

Ye Wang1, Ying Yang2, Xiaohong Wu3

  • 1Department of Pathology, The First Hospital of China Medical University, Shenyang, China.

Frontiers in artificial intelligence
|January 28, 2026
PubMed
概括

一个新的层次超柱引导的融合分段任何模型 (HHF-SAM) 改善了CT扫描中的直肠癌细分. 这种先进的AI工具提高了病变划分的准确性,有助于临床诊断和治疗计划.

关键词:
深度学习是一种深度学习.医疗图像分析分析多个尺度的多个尺度.结直肠癌细分的细分细分任何东西模型模型.

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