Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning

作者：

Highlights：

• Artificial Intelligence use for human skin Raman spectra classification for optical diagnosis advancement

• Machine learning models for analyzing melanoma versus pigmented nevus Raman spectra

• Explanatory modeling for determining a miniaturized spectral range

• Superior diagnosis performance of a reduced fragment of the biological fingerprint Raman region

摘要

•Artificial Intelligence use for human skin Raman spectra classification for optical diagnosis advancement•Machine learning models for analyzing melanoma versus pigmented nevus Raman spectra•Explanatory modeling for determining a miniaturized spectral range•Superior diagnosis performance of a reduced fragment of the biological fingerprint Raman region

论文关键词：Machine learning,Melanoma,Raman spectroscopy,Optical diagnosis,Explanatory modeling

论文评审过程：Received 10 March 2021, Revised 24 August 2021, Accepted 24 August 2021, Available online 28 August 2021, Version of Record 10 September 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102161