Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization

• Published in: Heliyon Vol. 9; no. 7; p. e18148
• Main Authors: Li, Qingbo, Zhang, Zhixiang, Ma, Zhenhe
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.07.2023; Elsevier
• Subjects: algorithms; Breast cancer; breast neoplasms; chemical structure; Feature fusion; Hyperparameter optimization; MSEA; Pattern recognition; probability; Raman spectroscopy; signal-to-noise ratio; viability; vibration; Hyperparameter optimization; Breast cancer; Feature fusion; Pattern recognition; Raman spectroscopy; MSEA

Raman spectroscopy, as a kind of molecular vibration spectroscopy, provides abundant information for measuring components and molecular structure in the early detection and diagnosis of breast cancer. Currently, portable Raman spectrometers have simplified and made equipment application more afforda...