Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy

Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy

Abstract This study introduces a novel approach for the early detection of pancreatic cancer through biofluid spectroscopy, leveraging a unique machine learning pipeline comprising class-specific principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machine (SVM)...

Full description

Saved in:
Bibliographic Details
Main Authors: Zheng Tang, Edward Duckworth, Benjamin Mora, Bilal Al - Sarireh, Matthew Mortimer, Debdulal Roy
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-79153-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items