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Updated: May 13, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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通过机器学习算法对性别分类的准确性 - - 人类耳朵和鼻子的形态变量

Tej Kaur1, Kewal Krishan2, Akanksha Sharma1

  • 1Institute of Forensic Science and Criminology, Panjab University, Sector-14, Chandigarh, India.

BMC research notes
|April 15, 2025
PubMed
概括

这项研究使用机器学习从耳朵和鼻子测量中预测性别,达到86.75%的准确性. 鼻子宽度是法医科学中个人识别最重要的预测因素.

关键词:
耳鼻形态 耳鼻形态 耳鼻形态法医识别识别法医识别人类解剖学和形态学 人类解剖学和形态学机器学习算法 机器学习算法这是PyCaret的PyCaret.性别分类的性别分类.

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