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

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

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, expe...

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Bibliographic Details
Main Authors: Ario Sadafi, Maria Bordukova, Asya Makhro, Nassir Navab, Anna Bogdanova, Carsten Marr
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Physiology
Subjects:
microscopic image analysis
single red blood cells
morphological features extraction
vesicle detection
deep learning
interpretable machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1058720/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2023.1058720/full

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