RedTell: an AI tool for interpretable analysis of red blood cell morphology.

ABSTRACT: Introduction: Hematologists analyze microscopic images of red blood cells to study their morphology and functionality, detect disorders and search for drugs. However, accurate analysis of a large number of red blood cells needs automated computational approaches that rely on annotated datasets, expensive computational resources, and computer science expertise. We introduce RedTell, an AI tool for the interpretable analysis of red blood cell morphology comprising four single-cell modules: segmentation, feature extraction, assistance in data annotation, and classification. Methods: Cell segmentation is performed by a trained Mask R-CNN working robustly on a wide range of datasets requiring no or minimum fine-tuning. Over 130 features that are regularly used in research are extr

SUBMITTER: Sadafi A 

PROVIDER: S-EPMC10250619 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature