Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma

Medical diagnosis technology based on convolutional neural networks (CNNs) has achieved good performance. In this study, we collected serum samples from 38 glioma patients and 45 healthy controls and used partial least squares (PLS) analysis to reduce the dimension of the data. Different levels of n...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of Raman spectroscopy 2022-04, Vol.53 (4), p.735-745
Hauptverfasser:	Tian, Xuecong, Chen, Cheng, Chen, Chen, Yan, Ziwei, Wu, Wei, Chen, Fangfang, Chen, Jiajia, Lv, Xiaoyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Classification convolutional neural network data augmentation Deep learning Diagnosis Glioma Machine learning Neural networks Noise reduction Performance evaluation Raman spectroscopy Spectroscopy Spectrum analysis Technology Tuning
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!