Automatic segmentation of the cerebellum using volBrain software in normal paediatric population.

Ozan Turamanlar Yunus Emre Kundakci Alperen Saritas Abdulkadir Bilir Emre Atay Cigdem Ozer Gökaslan

Published in: International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience (2023)

There is a tendency to increase in cerebellar volume during the transition from childhood to adolescence. The cerebellum has volumetric differences in the first years of life and during adolescence. When the development of a healthy cerebellum is analysed based on volumetric segmentation, differences are observed. The findings of this study may be useful in confirming various theories attributed to the cerebellum in the clinic.

Keyphrases

deep learning
depressive symptoms
convolutional neural network
intensive care unit
primary care
machine learning
emergency department
young adults
childhood cancer