Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Component Analysis-Support Vector Machine
To facilitate the enhanced reliability of Raman-based tumor detection and analytical methodologies, an ex vivo Raman spectral investigation was conducted to identify distinct compositional information of healthy (H), ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC). Then, princip...
Saved in:
Main Authors: | Heping Li, Yu Ren, Fan Yu, Dongliang Song, Lizhe Zhu, Shibo Yu, Siyuan Jiang, Shuang Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Spectroscopy |
Online Access: | http://dx.doi.org/10.1155/2021/5572782 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Principal Component Analysis for Steel Material Components
by: Miran Othman Tofiq, et al.
Published: (2022-12-01) -
Labor Market Resource Allocation Optimization Based on Principal Component Analysis
by: Xiaojing Liu
Published: (2022-01-01) -
New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis
by: Mario Marchetti, et al.
Published: (2014-01-01) -
Application of Principal Component Analysis as a Prediction Model for Feline Sporotrichosis
by: Franco Bresolin Pegoraro, et al.
Published: (2025-01-01) -
HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis
by: Nan Jiang, et al.
Published: (2020-03-01)