A novel approach to cytoarchitectonics: developing an objective framework for the morphological analysis of the cerebral cortex

The results of the prediction model agreed well with the qualitative expected cytoarchitectonic descriptions. This suggests that supervised machine learning could aid in defining the morphological characteristics of the cerebral cortex.

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Publication Details

Journal
Frontiers in Neuroanatomy
Published
2024-08-12
DOI
https://doi.org/10.3389/fnana.2024.1441645
Citations
2
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.69

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article

A novel approach to cytoarchitectonics: developing an objective framework for the morphological analysis of the cerebral cortex

Zdravko Petanjek, Ivan Banovac, Matija Vid Prkačin
2 citations
Frontiers in Neuroanatomy
Functional Brain Connectivity Studies
0.69
article

A novel approach to cytoarchitectonics: developing an objective framework for the morphological analysis of the cerebral cortex

Zdravko Petanjek, Ivan Banovac, Matija Vid Prkačin
article en
2 citations

Abstract

The results of the prediction model agreed well with the qualitative expected cytoarchitectonic descriptions. This suggests that supervised machine learning could aid in defining the morphological characteristics of the cerebral cortex.

Frontiers in NeuroanatomyVol. 18
University of Zagreb (HR)
Sveučilište u Zagrebu, Hrvatska Zaklada za Znanost
Openalex Percentile: Top 32%
Functional Brain Connectivity Studies
0.69
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