Correction: AI-driven automated blood cell anomaly detection: enhancing diagnostics and telehealth in hematology.

The authors wish to make some corrections to the published paper "El Othmani et al. AI-driven Automated Blood Cell Anomaly Detection: Enhancing Diagnostics and Telehealth in Hematology".

Authors

Raouf Dhaouadi
Amine Mosbah (ORCID: https://orcid.org/0000-0002-8262-150X)
Aymen Yahyaoui (ORCID: https://orcid.org/0000-0002-1721-4510)
Oussama El Othmani
Amina Bouatay

Publication Details

Journal: UPM Digital Archive (Technical University of Madrid)
Published: 2025-10-24
Primary Topic: Digital Imaging for Blood Diseases
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: AI-driven automated blood cell anomaly detection: enhancing diagnostics and telehealth in hematology.

Raouf Dhaouadi, Amine Mosbah, Aymen Yahyaoui, Oussama El Othmani et al.

Oct 24, 2025

UPM Digital Archive (Technical University of Madrid)

Digital Imaging for Blood Diseases

article

Correction: AI-driven automated blood cell anomaly detection: enhancing diagnostics and telehealth in hematology.

Raouf Dhaouadi, Amine Mosbah, Aymen Yahyaoui, Oussama El Othmani, Amina Bouatay

October 24, 2025article en

Abstract

The authors wish to make some corrections to the published paper "El Othmani et al. AI-driven Automated Blood Cell Anomaly Detection: Enhancing Diagnostics and Telehealth in Hematology".

UPM Digital Archive (Technical University of Madrid)

Openalex Percentile: Top 25%

Digital Imaging for Blood Diseases

Open Access PDF OpenAlex

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Correction: AI-driven automated blood cell anomaly detection: enhancing diagnostics and telehealth in hematology. — Raouf Dhaouadi, Amine Mosbah, et al. · UPM Digital Archive (Technical University of Madrid) (2025) | TGRS Research Map | TGRS