Towards Explainable Automated Neuroanatomy

arXiv:2404.05814v1 Announce Type: new
Abstract: We present a novel method for quantifying the microscopic structure of brain tissue. It is based on the automated recognition of interpretable features obtained by analyzing the shapes of cells. This contrasts with prevailing methods of brain anatomical analysis in two ways. First, contemporary methods use gray-scale values derived from smoothed version of the anatomical images, which dissipated valuable information from the texture of the images. Second, contemporary analysis uses the output of black-box Convolutional …

abstract analysis arxiv automated brain cells cs.cv features novel q-bio.nc recognition scale type values