Eigenloss: Combined PCA-Based Loss Function for Polyp Segmentation

Eigenloss: Combined PCA-Based Loss Function for Polyp Segmentation

Colorectal cancer is one of the leading cancer death causes worldwide, but its early diagnosis highly improves the survival rates. The success of deep learning has also benefited this clinical field. When training a deep learning model, it is optimized based on the selected loss function. In this wo...

Full description

Bibliographic Details
Main Authors: Luisa F. Sánchez-Peralta, Artzai Picón, Juan Antonio Antequera-Barroso, Juan Francisco Ortega-Morán, Francisco M. Sánchez-Margallo, J. Blas Pagador
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Mathematics
Subjects:
deep learning
loss functions
principal component analysis
polyp segmentation
Online Access:https://www.mdpi.com/2227-7390/8/8/1316

Internet

https://www.mdpi.com/2227-7390/8/8/1316

Similar Items