AIMC Topic: Leukemia

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IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.

Journal of healthcare engineering Dec 3, 2020
For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine learning algorithms have been developed to identify different diseases, e.g., leukemia. Leukemia is a white blood cells- (WBC-) related illness affec...
Machine Learning COVID-19 Algorithms Humans Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning Diagnostic Imaging Telemedicine Databases, Factual Leukemia, Lymphocytic, Chronic, B-Cell Leukemia, Myeloid, Acute Cloud Computing Leukemia, Myelogenous, Chronic, BCR-ABL Positive Leukemia Internet of Things Pattern Recognition, Automated Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Hybrid adversarial-discriminative network for leukocyte classification in leukemia.

Medical physics Jun 24, 2020
PURPOSE: Leukemia is a lethal disease that is harmful to bone marrow and overall blood health. The classification of white blood cell images is crucial for leukemia diagnosis. The purpose of this study is to classify white blood cells by extracting d...
Neural Networks, Computer Support Vector Machine Leukocytes Leukemia Humans
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Label-Free Leukemia Monitoring by Computer Vision.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 24, 2020
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. While there are a number of well-recognized prognostic biomarkers at diagnosis, the most powerful independent prognostic factor is the response of the leukemia to induction chemo...
Humans Machine Learning Computers Child Neoplasm, Residual Flow Cytometry Leukemia
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Efficient Classification of White Blood Cell Leukemia with Improved Swarm Optimization of Deep Features.

Scientific reports Feb 13, 2020
White Blood Cell (WBC) Leukaemia is caused by excessive production of leukocytes in the bone marrow, and image-based detection of malignant WBCs is important for its detection. Convolutional Neural Networks (CNNs) present the current state-of-the-art...
Algorithms Image Processing, Computer-Assisted Leukocytes Humans Neural Networks, Computer Machine Learning Bone Marrow Leukemia
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Machine learning applications in the diagnosis of leukemia: Current trends and future directions.

International journal of laboratory hematology Sep 9, 2019
Machine learning (ML) offers opportunities to advance pathological diagnosis, especially with increasing trends in digitalizing microscopic images. Diagnosing leukemia is time-consuming and challenging in many areas globally and there is a growing tr...
Leukemia Machine Learning Algorithms Leukemia, Lymphocytic, Chronic, B-Cell Leukemia, Myeloid, Acute Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia, Myelogenous, Chronic, BCR-ABL Positive Humans
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Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.

Journal of clinical pathology Jun 29, 2019
AIMS: Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagn...
Cell Lineage Leukemia Image Interpretation, Computer-Assisted Pattern Recognition, Automated Blood Specimen Collection Machine Learning Reproducibility of Results Staining and Labeling Acute Disease Leukocytes Diagnosis, Differential Predictive Value of Tests Humans
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Evaluating classification accuracy for modern learning approaches.

Statistics in medicine Jan 30, 2019
Deep learning neural network models such as multilayer perceptron (MLP) and convolutional neural network (CNN) are novel and attractive artificial intelligence computing tools. However, evaluation of the performance of these methods is not readily av...
Humans Female Breast Neoplasms Support Vector Machine Decision Trees Deep Learning Logistic Models Biostatistics Leukemia Discriminant Analysis Probability Biopsy, Fine-Needle
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Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.

Biometrics May 18, 2018
Clinicians often make multiple treatment decisions at key points over the course of a patient's disease. A dynamic treatment regime is a sequence of decision rules, each mapping a patient's observed history to the set of available, feasible treatment...
Survival Analysis Biometry Leukemia Randomized Controlled Trials as Topic Acute Disease Algorithms Outcome Assessment, Health Care Humans Computer Simulation Decision Support Techniques Support Vector Machine
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Evaluation of a Machine Learning-Based Prognostic Model for Unrelated Hematopoietic Cell Transplantation Donor Selection.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation Feb 2, 2018
The survival of patients undergoing hematopoietic cell transplantation (HCT) from unrelated donors for acute leukemia exhibits considerable variation, even after stringent genetic matching. To improve the donor selection process, we attempted to crea...
Acute Disease Hematopoietic Stem Cell Transplantation Donor Selection Prognosis Survival Rate Humans Leukemia Predictive Value of Tests Machine Learning Unrelated Donors Algorithms
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Leukocyte Image Segmentation Using Novel Saliency Detection Based on Positive Feedback of Visual Perception.

Journal of healthcare engineering Feb 1, 2018
This paper presents a novel method for salient object detection in nature image by simulating microsaccades in fixational eye movements. Due to a nucleated cell usually stained that is salient obviously, the proposed method is suitable to segment nuc...
Microscopy Feedback Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Leukemia Machine Learning Leukocytes Algorithms
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