Validation of a deep-learning semantic segmentation approach to fully automate MRI-based left-ventricular deformation analysis in cardiotoxicity.

CONCLUSIONS: Similar performance metrics and equivalent parameters obtained from comparisons between the atrous networks and vendor tool show that segmentation with the modified, atrous DCNN is applicable for automated LV chamber quantification and subsequent strain analysis in cardiotoxicity.
ADVANCES IN KNOWLEDGE: A novel deep-learning technique for segmenting DENSE images was developed and validated for LV chamber quantification and strain analysis in cardiotoxicity detection.
PMID: 33571002 [PubMed - as supplied by publisher]

Source: The British Journal of Radiology - February 11, 2021 Category: Radiology Authors: Karr J, Cohen M, McQuiston SA, Poorsala T, Malozzi C Tags: Br J Radiol Source Type: research