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Updated: May 1, 2026

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

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Published on: March 26, 2020

校正:PI-YOLO:用于病理图像中血管检测的动态稀疏注意力和轻量级卷积式YOLO

Cong Li¹, Shuanlong Che², Haotian Gong³

¹Affiliated Qingyuan Hospital, The Sixth Clinical Medical School, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong, China.

Frontiers in oncology

|August 26, 2024

概括

这项研究纠正了先前发表的一篇文章的DOI. 校正确保准确的引用和检索研究结果以供未来的科学参考.

科学领域:

这项研究属于科学出版和研究诚信的领域.

背景情况:

之前的一篇文章包含了一个错误的DOI.
准确的DOI对于科学界访问和引用研究至关重要.

研究的目的:

纠正特定科学文章的数字物体标识符 (DOI).
确保研究的正确归因和可访问性.

主要方法:

纠正涉及更新与该物品相关的DOI记录.
这是一个标准的编辑过程,以纠正元数据错误.

主要成果:

文章DOI已经成功纠正.
修正后的DOI现在准确地指向了预期的研究.

结论:

校正有助于准确引用和检索研究.
确保DOI准确性维护科学文献的完整性.

关键词:

注意力机制注意力机制一个血管,一个血管.深度学习是一种深度学习.对象检测检测对象检测对象检测病理图像病理图像病理图像

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