AIMC Topic: Bone Marrow Cells

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DeepHeme, a high-performance, generalizable deep ensemble for bone marrow morphometry and hematologic diagnosis.

Science translational medicine Jun 11, 2025
Cytomorphological analysis of the bone marrow aspirate (BMA) is pivotal for the diagnostic workup of a broad range of hematological disorders. However, this skill is error prone, highly complex, and time consuming. Deep learning-based models for the ...
Humans Reproducibility of Results Bone Marrow Cells Hematologic Diseases Deep Learning Bone Marrow
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Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images.

Scientific reports Apr 24, 2025
Bone marrow (BM) plays a crucial role in the hematopoietic process, producing all of the body's blood cells and maintaining the overall immune and health system. Red and yellow BM are the two various kinds of BM. A comprehensive identification of the...
Bone Marrow Bone Marrow Cells Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Humans
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A deep-learning algorithm (AIFORIA) for classification of hematopoietic cells in bone marrow aspirate smears based on nine cell classes-a feasible approach for routine screening?

Journal of hematopathology Mar 29, 2025
Bone marrow cytology plays a key role for the diagnosis and classification of hematological disease and is often the first step in the acute setting of unclear cytopenia. AI applications represent a powerful tool in digital image analysis and can imp...
Humans Deep Learning Bone Marrow Neural Networks, Computer Algorithms Bone Marrow Examination Bone Marrow Cells
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Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learning.

Computer methods and programs in biomedicine Dec 9, 2024
BACKGROUND AND OBJECTIVE: Classification of peripheral blood and bone marrow cells is critical in the diagnosis and monitoring of hematological disorders. The development of robust and reliable automatic classification systems is hampered by data sca...
Blood Cells Supervised Machine Learning Bone Marrow Cells Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Humans
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A machine-learning-based algorithm for bone marrow cell differential counting.

International journal of medical informatics Nov 7, 2024
BACKGROUND: Differential counting (DC) of different cell types in bone marrow (BM) aspiration smears is crucial for diagnosing hematological diseases. However, a clinically applicable method for automatic DC has yet to be developed.
Bone Marrow Cells Cell Count Humans Machine Learning Neural Networks, Computer Algorithms
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Evaluation of deep learning training strategies for the classification of bone marrow cell images.

Computer methods and programs in biomedicine Nov 13, 2023
BACKGROUND AND OBJECTIVE: The classification of bone marrow (BM) cells by light microscopy is an important cornerstone of hematological diagnosis, performed thousands of times a day by highly trained specialists in laboratories worldwide. As the manu...
Microscopy Humans Blood Cells Deep Learning Neural Networks, Computer Bone Marrow Cells
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Automated bone marrow cell classification through dual attention gates dense neural networks.

Journal of cancer research and clinical oncology Sep 23, 2023
PURPOSE: The morphology of bone marrow cells is essential in identifying malignant hematological disorders. The automatic classification model of bone marrow cell morphology based on convolutional neural networks shows considerable promise in terms o...
Bone Marrow Cells Neural Networks, Computer Leukemia Humans Algorithms
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Deep learning application of the discrimination of bone marrow aspiration cells in patients with myelodysplastic syndromes.

Scientific reports Nov 4, 2022
Myelodysplastic syndromes (MDS) are a group of hematologic neoplasms accompanied by dysplasia of the bone marrow hematopoietic cells with cytopenia. Detecting dysplasia is important in the diagnosis of MDS, but it takes considerable time and effort. ...
Humans Deep Learning Myelodysplastic Syndromes Bone Marrow Megakaryocytes Bone Marrow Cells
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Methodologies and Emerging Technologies for the Evaluation of the Hematopoietic System.

Toxicologic pathology Oct 28, 2022
Hematology and bone marrow analysis is central to our understanding of the hematopoietic system and how it responds to insults, and this session presented during the 2022 STP symposium provided a review of current and novel approaches for the evaluat...
Bone Marrow Artificial Intelligence Hematopoiesis Bone Marrow Cells Hematopoietic System
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Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells.

Scientific reports Oct 6, 2022
Differential bone marrow (BM) cell counting is an important test for the diagnosis of various hematological diseases. However, it is difficult to accurately classify BM cells due to non-uniformity and the lack of reproducibility of differential count...
Bone Marrow Cells Reproducibility of Results Supervised Machine Learning
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