AIMC Topic: Leukemia

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Sensitive detection of rare disease-associated cell subsets via representation learning.

Nature communications Apr 6, 2017
Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations remains a difficult task. This work describes CellCnn, a representation learning approach to de...
Humans Prognosis Single-Cell Analysis Neural Networks, Computer Cytokines Killer Cells, Natural T-Lymphocyte Subsets Rare Diseases Immunologic Memory Neoplasm, Residual Leukemia Cytomegalovirus Infections Supervised Machine Learning Survival Analysis Monocytes Signal Transduction Acquired Immunodeficiency Syndrome
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Ensemble Feature Learning of Genomic Data Using Support Vector Machine.

PloS one Jun 15, 2016
The identification of a subset of genes having the ability to capture the necessary information to distinguish classes of patients is crucial in bioinformatics applications. Ensemble and bagging methods have been shown to work effectively in the proc...
Humans Algorithms Female Gene Expression Profiling Child Reproducibility of Results Breast Neoplasms Information Dissemination Leukemia Support Vector Machine Colonic Neoplasms Data Mining Genomics Computational Biology Gene Expression Regulation, Neoplastic
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An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images.

Scientific reports Oct 9, 2015
This research proposes an intelligent decision support system for acute lymphoblastic leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with stimulating discriminant measures (SDM) of both within- and between-cluster sca...
Humans Cell Nucleus Algorithms Cytoplasm Leukemia Diagnosis, Computer-Assisted Discriminant Analysis Staining and Labeling Leukocytes Support Vector Machine Microscopy Cluster Analysis Databases, Factual Reproducibility of Results Sensitivity and Specificity
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A fast gene selection method for multi-cancer classification using multiple support vector data description.

Journal of biomedical informatics Dec 27, 2014
For cancer classification problems based on gene expression, the data usually has only a few dozen sizes but has thousands to tens of thousands of genes which could contain a large number of irrelevant genes. A robust feature selection algorithm is r...
Leukemia Pattern Recognition, Automated Oligonucleotide Array Sequence Analysis Gene Expression Regulation, Leukemic Diagnosis, Computer-Assisted Algorithms Gene Expression Gene Expression Regulation, Neoplastic Neoplasms Support Vector Machine Colonic Neoplasms Gene Expression Profiling Models, Statistical Humans Bayes Theorem Artificial Intelligence Software
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An AI-based automatic leukemia classification system utilizing dimensional Archimedes optimization.

Scientific reports May 16, 2025
Leukemia is a common type of blood cancer marked by the abnormal and uncontrolled proliferation and expansion of white blood cells. This anomaly impacts the blood and bone marrow, diminishing the bone marrow's capacity to generate platelets and red b...
Artificial Intelligence Image Processing, Computer-Assisted Algorithms Leukemia Humans
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Leukaemia Stem Cells and Their Normal Stem Cell Counterparts Are Morphologically Distinguishable by Artificial Intelligence.

Journal of cellular and molecular medicine May 1, 2025
Leukaemia stem cells (LSCs) are a rare population among the bulk of leukaemia cells and are responsible for disease initiation, progression/relapse and insensitivity to therapies in numerous haematologic malignancies. Identification of LSCs and monit...
Neural Networks, Computer Artificial Intelligence Animals Deep Learning Humans Janus Kinase 2 Polycythemia Vera Leukemia Hematopoietic Stem Cells Mice Neoplastic Stem Cells Stem Cells
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Extracting Regions of Interest and Selective Feature Application in Leukaemia Image Classification.

Studies in health technology and informatics Apr 8, 2025
Evaluating the blood smear test images remains the main route of detecting the type of leukaemia, accurate diagnosis is fundamental in providing effective treatment. The changes in the structure of the white blood cells present different morphologica...
Leukemia Humans Neural Networks, Computer Image Interpretation, Computer-Assisted
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Towards Diagnostic Intelligent Systems in Leukemia Detection and Classification: A Systematic Review and Meta-analysis.

Journal of evidence-based medicine Mar 1, 2025
OBJECTIVE: Leukemia is a type of blood cancer that begins in the bone marrow and results in high numbers of abnormal white blood cells. Automated detection and classification of leukemia and its subtypes using artificial intelligence (AI) and machine...
Machine Learning Algorithms Leukemia Intelligent Systems Humans Artificial Intelligence
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An efficient leukemia prediction method using machine learning and deep learning with selected features.

PloS one Jan 1, 2025
Leukemia is a serious problem affecting both children and adults, leading to death if left untreated. Leukemia is a kind of blood cancer described by the rapid proliferation of abnormal blood cells. An early, trustworthy, and precise identification o...
Gene Expression Profiling Deep Learning Databases, Genetic Leukemia Humans Machine Learning
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Deep learning based semantic segmentation of leukemia effected white blood cell.

PloS one Jan 1, 2025
Medical image segmentation has numerous applications in diagnosing different diseases. Various types of diseases are found in white blood and Red blood cells. This paper represents the segmentation of WBCs from blood smear images. It is a complex and...
Image Processing, Computer-Assisted Leukocytes Semantics Humans Leukemia Neural Networks, Computer Algorithms Deep Learning
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