相关实验视频

Updated: Jan 24, 2026

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments
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SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments

Published on: August 8, 2025

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自动提示Seg:自动解不确定性提示与SAM用于半监督的医疗图像细分

Junan Zhu1, Zhizhe Tang1, Ping Ma1

  • 1School of Internet, Anhui University, Hefei, 230039, Anhui, China.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|January 22, 2026
PubMed
概括

AutoPromptSeg使用半监督学习 (SSL) 和可提示模型增强了3D医疗图像细分. 这种方法有效地利用有限的标记数据来提高疾病诊断的准确性,即使有稀缺的注释.

关键词:
医疗图像细分 医疗图像细分伪监管是一种伪监管.细分任何东西任何东西.半监督学习 半监督学习

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