Echo2Pheno: a deep-learning application to uncover echocardiographic phenotypes in conscious mice.

ABSTRACT: Echocardiography, a rapid and cost-effective imaging technique, assesses cardiac function and structure. Despite its popularity in cardiovascular medicine and clinical research, image-derived phenotypic measurements are manually performed, requiring expert knowledge and training. Notwithstanding great progress in deep-learning applications in small animal echocardiography, the focus has so far only been on images of anesthetized rodents. We present here a new algorithm specifically designed for echocardiograms acquired in conscious mice called Echo2Pheno, an automatic statistical learning workflow for analyzing and interpreting high-throughput non-anesthetized transthoracic murine echocardiographic images in the presence of genetic knockouts. Echo2Pheno comprises a neural network module fo

SUBMITTER: Bukas C 

PROVIDER: S-EPMC10290584 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature