engleski

Neuron-level analysis of the laminar structure of the human brain

Through development of complex neuronal features it is possible to learn the distribution of neurons within the cortex and descriptors of each cortical layer. Presented analysis and comparison of human experts' performance has addressed the question of correctness and existence of true baseline in such tasks. Machine learning model was able to create precise segmentation of cortical layers. Quantitative analysis of neuronal distribution and exploration of underlying principles of variation that facilitate parcellation of cortical layers resulted in novel framework and methodology for cellular-level investigations of brain tissue both in 2D and 3D, applicable on various histological samples

Cerebral cortex ; cytoarchitecture ; computational histology ; medical image analysis ; concept based explainations

nije evidentirano