A machine learning approach for the rapid identification of measurable residual disease in acute myeloid leukemia

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Publication Details

Journal
Haematologica
Published
2025-03-06
DOI
https://doi.org/10.3324/haematol.2024.286019
Citations
1
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
1.28
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article

A machine learning approach for the rapid identification of measurable residual disease in acute myeloid leukemia

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Haematologica
Digital Imaging for Blood Diseases
1.28
article

A machine learning approach for the rapid identification of measurable residual disease in acute myeloid leukemia

Tahereh Madani, Amirali Vahedi, François Mercier, Mohammadreza Royaei, Behzad Poopak
article en
1 citations

Abstract

No abstract available for this paper.
HaematologicaVol. 110(8)
Islamic Azad University Medical Branch of Tehran (IR), McGill University (CA)
Zero hunger
Openalex Percentile: Top 23%
Digital Imaging for Blood Diseases
1.28
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