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Updated: Jun 13, 2025

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
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快速多光子显微镜成像联合图像超分辨率用于前列腺癌的自动格里森分级.

Xinpeng Huang1, Qianqiong Wang1, Jia He1

  • 1Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China.

Journal of biophotonics
|September 12, 2024
PubMed
概括

这项研究提出了一种快速的深度学习方法,用于使用多光子显微镜 (MPM) 进行前列腺癌分级. 超高分辨率成像显著加快采集速度,同时保持高准确度,用于自动化的格里森分级.

关键词:
格里森的分级是什么自动分类的自动分类.图像超高分辨率的超级分辨率多光子显微镜的多光子显微镜前列腺癌是前列腺癌.

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