Development of an age estimation method for bones based on machine learning using post-mortem computed tomography images of bones
Forensic Imaging(2021)
摘要
•We developed an age estimation method for adult bone using machine learning.•The vertebral body, ischial tuberosity, iliac crest, and femur were analyzed.•High-frequency components were extracted from images as feature variables.•Partial least squares regression (PLS) was applied for dimensionality reduction.•Support vector regression with PLS components effectively estimated ages.
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关键词
Forensic anthropology,Age estimation,Principal component analysis,Partial least squares regression,Two-dimensional discrete wavelet transform,Machine learning,Post-mortem computed tomography
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