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Updated: Jul 16, 2025

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Whole Neonatal Cochlear Explants as an In vitro Model
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大规模的注释数据集用于耳毛细胞检测和分类
Christopher J Buswinka1,2,3, David B Rosenberg1, Rubina G Simikyan1
1Eaton Peabody Laboratories, Mass Eye and Ear, Boston, MA, 02114, USA.
bioRxiv : the preprint server for biology
|September 11, 2023
概括
研究人员创建了来自多个物种的耳毛细胞的大型注释数据集,以训练自动听力研究的机器学习模型. 本资源有助于量化毛细胞,以更好地了解听力条件和治疗方法.
科学领域:
- 耳鼻神经科学 耳鼻神经科学
- 生物信息学是一种生物信息学.
- 医疗成像医学成像
背景情况:
- 听力依赖于Corti.的器官内的耳毛细胞.
- 这些细胞是终端分化的,不会再生,使得它们的量化对于听力研究至关重要.
- 手动量化耳样本中的众多毛细胞是不切实际的,需要自动化方法.
结论:
- 这个精心策划的数据集支持在听力研究中自动化毛细胞量化技术的进步.
- 能够开发用于更准确,更有效地分析耳成像数据的工具.
- 旨在为听力研究社区提供可靠的数据,用于开发工具.
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