Convolutional Neural Networks for Segmenting Cerebellar Fissures from Magnetic Resonance Imaging

Convolutional Neural Networks for Segmenting Cerebellar Fissures from Magnetic Resonance Imaging

The human cerebellum plays an important role in coordination tasks. Diseases such as spinocerebellar ataxias tend to cause severe damage to the cerebellum, leading patients to a progressive loss of motor coordination. The detection of such damages can help specialists to approximate the state of the...

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Bibliographic Details
Main Authors: Robin Cabeza-Ruiz, Luis Velázquez-Pérez, Alejandro Linares-Barranco, Roberto Pérez-Rodríguez
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
convolutional neural network
cerebellum segmentation
neurodegenerative disease
cerebellar fissures
magnetic resonance imaging
Online Access:https://www.mdpi.com/1424-8220/22/4/1345

Internet

https://www.mdpi.com/1424-8220/22/4/1345

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