Reliable classification of breast cancer cells from normal mammary epithelial cells by machine learning assisted Raman microspectroscopy

Hemanth Noothalapati

Presentation information

Oral Session

G. Biomaterials and Softmaterials » [G-3&G-4] [G-3] Imaging and Spectroscopy for Biomaterials, Live Cells and Tissues [G-4] Advanced Materials for Biomedical Engineering

[G3G4-O2] Slot 02

Mon. Dec 13, 2021 1:30 PM - 5:00 PM Room H (G420)

Chair: Toshiyuki Ikoma (Tokyo Institute of Technology), Guoping Chen (National Institute for Materials Science), Hideaki Kano (Kyushu University)

4:20 PM - 4:40 PM

[G3G4-O2-09] Reliable classification of breast cancer cells from normal mammary epithelial cells by machine learning assisted Raman microspectroscopy

*Hemanth Noothalapati¹, Keita Iwasaki², Ajinkya Anjikar², Asuka Araki¹, Riruke Maruyama¹, Tatsuyuki Yamamoto¹ (1. Shimane Univ. (Japan), 2. Tottori Univ. (Japan))

Keywords:Raman spectroscopy, breast cancer diagnosis, MCR analysis, Artificial neural networks, SVM

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