AIMC Topic: Leukemia

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Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology.

Biosensors Nov 21, 2023
Accurate and efficient classification and quantification of CD34+ cells are essential for the diagnosis and monitoring of leukemia. Current methods, such as flow cytometry, are complex, time-consuming, and require specialized expertise and equipment....
Humans Technology Flow Cytometry Antigens, CD34 Leukemia Reproducibility of Results Deep Learning
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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 Leukemia Humans Neural Networks, Computer Algorithms
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[Artificial Intelligence for computer-aided leukemia diagnostics].

Deutsche medizinische Wochenschrift (1946) Aug 23, 2023
The manual examination of blood and bone marrow specimens for leukemia patients is time-consuming and limited by intra- and inter-observer variance. The development of AI algorithms for leukemia diagnostics requires high-quality sample digitization a...
Humans Artificial Intelligence Diagnosis, Computer-Assisted Leukemia Algorithms Computers
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Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.

IEEE transactions on medical imaging Aug 1, 2023
Leukemia classification relies on a detailed cytomorphological examination of Bone Marrow (BM) smear. However, applying existing deep-learning methods to it is facing two significant limitations. Firstly, these methods require large-scale datasets wi...
Humans Child Leukemia Image Processing, Computer-Assisted Machine Learning Deep Learning
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Artificial intelligence generated leukemia cell images.

American journal of hematology Apr 29, 2023
Artificial Intelligence Leukemia Humans
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An Enhanced Hyper-Parameter Optimization of a Convolutional Neural Network Model for Leukemia Cancer Diagnosis in a Smart Healthcare System.

Sensors (Basel, Switzerland) Dec 10, 2022
Healthcare systems in recent times have witnessed timely diagnoses with a high level of accuracy. Internet of Medical Things (IoMT)-enabled deep learning (DL) models have been used to support medical diagnostics in real time, thus resolving the issue...
Algorithms Diagnosis, Computer-Assisted Leukemia Humans Neural Networks, Computer
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RCMNet: A deep learning model assists CAR-T therapy for leukemia.

Computers in biology and medicine Sep 11, 2022
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although a satisfactory remission of the disease can be achieved, the risk of ...
Immunotherapy, Adoptive Leukemia Humans T-Lymphocytes Receptors, Chimeric Antigen Deep Learning
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An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Aug 29, 2022
BACKGROUND: View classification is a key step toward building a fully automated system for interpretation of echocardiograms. However, compared with adult echocardiograms, creating a view classification model for pediatric echocardiograms poses addit...
Humans Artificial Intelligence Leukemia Child Computer Simulation Predictive Value of Tests Echocardiography
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Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method.

Computational intelligence and neuroscience Apr 27, 2022
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the immune system. They are also known as "defender cells." But the imbalance in the number of WBCs in the blood can be hazardous. Leukemia is the most common bl...
Adolescent Image Processing, Computer-Assisted Humans Machine Learning Child Leukemia Artificial Intelligence Reproducibility of Results
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A Transfer-Learning-Based Deep Convolutional Neural Network for Predicting Leukemia-Related Phosphorylation Sites from Protein Primary Sequences.

International journal of molecular sciences Feb 3, 2022
As one of the most important post-translational modifications (PTMs), phosphorylation refers to the binding of a phosphate group with amino acid residues like Ser (S), Thr (T) and Tyr (Y) thus resulting in diverse functions at the molecular level. Ab...
Peptides Leukemia Deep Learning Learning Curve Neoplasm Proteins ROC Curve Humans Phosphoproteins Phosphorylation Databases as Topic Cluster Analysis Neural Networks, Computer Amino Acid Sequence Entropy
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