1.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 7031-7035, 2019 Jul.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31947457
RESUMO
This study investigates the classification performance of elastic and collagen fibers using H&E stained hyperspectral images. As many as 1200 sample pixels were trained by using Linear discriminant analysis (LDA) and support vector machine (SVM) methods for reduction and classification. The classification result both using LDA and SVM show that H&E stained hyperspectral images performed better classification than H&E stained RGB image by comparing the classification of EVG stained images visually and quantitatively.