Raman spectroscopy and machine learning for the classification of breast cancers

Volume: 264, Pages: 120300 - 120300
Published: Jan 1, 2022
Abstract
Breast cancer is a major health threat for women. The drug responses associated with different breast cancer subtypes have obvious effects on therapeutic outcomes; therefore, the accurate classification of breast cancer subtypes is critical. Breast cancer subtype classification has recently been examined using various methods, and Raman spectroscopy has emerged as an effective technique that can be used for noninvasive breast cancer analysis....
Paper Details
Title
Raman spectroscopy and machine learning for the classification of breast cancers
Published Date
Jan 1, 2022
Volume
264
Pages
120300 - 120300
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