Models for the marrow: A comprehensive review of AI-based cell classification methods and malignancy detection in bone marrow aspirate smears.
Ghete T, Kock F, Pontones M, Pfrang D, Westphal M, Höfener H, Metzler M (2024)
Publication Type: Journal article, Review article
Publication year: 2024
Journal
Book Volume: 8
Journal Issue: 12
DOI: 10.1002/hem3.70048
Abstract
Given the high prevalence of artificial intelligence (AI) research in medicine, the development of deep learning (DL) algorithms based on image recognition, such as the analysis of bone marrow aspirate (BMA) smears, is rapidly increasing in the field of hematology and oncology. The models are trained to identify the optimal regions of the BMA smear for differential cell count and subsequently detect and classify a number of cell types, which can ultimately be utilized for diagnostic purposes. Moreover, AI is capable of identifying genetic mutations phenotypically. This pipeline has the potential to offer an accurate and rapid preliminary analysis of the bone marrow in the clinical routine. However, the intrinsic complexity of hematological diseases presents several challenges for the automatic morphological assessment. To ensure general applicability across multiple medical centers and to deliver high accuracy on prospective clinical data, AI models would require highly heterogeneous training datasets. This review presents a systematic analysis of models for cell classification and detection of hematological malignancies published in the last 5 years (2019-2024). It provides insight into the challenges and opportunities of these DL-assisted tasks.
Authors with CRIS profile
Denisia-Tabita Ghete
Department of Paediatrics and Adolescent Medicine
Martina Pontones
Department of Paediatrics and Adolescent Medicine
Markus Metzler
Professur für Kinder- und Jugendmedizin mit dem Schwerpunkt Pädiatrische Onkologie und Hämatologie
Involved external institutions
Germany (DE)How to cite
APA:
Ghete, T., Kock, F., Pontones, M., Pfrang, D., Westphal, M., Höfener, H., & Metzler, M. (2024). Models for the marrow: A comprehensive review of AI-based cell classification methods and malignancy detection in bone marrow aspirate smears. HemaSphere, 8(12). https://doi.org/10.1002/hem3.70048
MLA:
Ghete, Tabita, et al. "Models for the marrow: A comprehensive review of AI-based cell classification methods and malignancy detection in bone marrow aspirate smears." HemaSphere 8.12 (2024).
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