Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network

Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network

Image interpolation is an essential process for image processing and computer graphics in wide applications to medical imaging. For image interpolation used in medical diagnosis, the two-dimensional (2D) to three-dimensional (3D) transformation can significantly reduce human error, leading to better...

Full description

Bibliographic Details
Main Authors: Jafar Tavoosi, Chunwei Zhang, Ardashir Mohammadzadeh, Saleh Mobayen, Amir H. Mosavi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Neuroinformatics
Subjects:
recurrent neural network
type-2 fuzzy system
image interpolation
2D to 3D
brain MRI
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2021.667375/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2021.667375/full

Similar Items