AIMC Topic: Bone Marrow
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Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models.
Toxicologic pathology
Jan 5, 2021
Many compounds affect the cellularity of hematolymphoid organs including bone marrow. Toxicologic pathologists are tasked with their evaluation as part of safety studies. An artificial intelligence (AI) tool could provide diagnostic support for the p...
Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification.
Frontiers in endocrinology
Sep 2, 2020
Bone marrow fat (BMF) fraction quantification in vertebral bodies is used as a novel imaging biomarker to assess and characterize chronic lower back pain. However, manual segmentation of vertebral bodies is time consuming and laborious. (1) Develop...
Morphogo: An Automatic Bone Marrow Cell Classification System on Digital Images Analyzed by Artificial Intelligence.
Acta cytologica
Jul 28, 2020
INTRODUCTION: The nucleated-cell differential count on the bone marrow aspirate smears is required for the clinical diagnosis of hematological malignancy. Manual bone marrow differential count is time consuming and lacks consistency. In this study, a...
Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis.
Nature communications
May 11, 2020
Single-cell RNA sequencing (scRNA-seq) can characterize cell types and states through unsupervised clustering, but the ever increasing number of cells and batch effect impose computational challenges. We present DESC, an unsupervised deep embedding a...
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...
Automated Flow Cytometric MRD Assessment in Childhood Acute B- Lymphoblastic Leukemia Using Supervised Machine Learning.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Jul 7, 2019
Minimal residual disease (MRD) as measured by multiparameter flow cytometry (FCM) is an independent and strong prognostic factor in B-cell acute lymphoblastic leukemia (B-ALL). However, reliable flow cytometric detection of MRD strongly depends on op...
Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma.
Scientific reports
May 28, 2019
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and monitoring of MM patients is based on bone marrow biopsies and detection of abnormal immunoglobulin in serum and/or urine. However, biopsies have a singl...
Neural Networks, Computer
Artificial Intelligence
Female
Multiple Myeloma
Male
Metabolic Networks and Pathways
Datasets as Topic
Middle Aged
Bone Marrow
Aged
Case-Control Studies
Immunoglobulins
Humans
Aged, 80 and over
Metabolome
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Principal Component Analysis
Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines.
Scientific reports
Apr 15, 2019
We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate pathologic infiltration patterns from the normal bone marrows in MRI. This retrospective study included 467 cases, which were split into a training (n...
Simultaneous Cell Detection and Classification in Bone Marrow Histology Images.
IEEE journal of biomedical and health informatics
Oct 31, 2018
Recently, deep learning frameworks have been shown to be successful and efficient in processing digital histology images for various detection and classification tasks. Among these tasks, cell detection and classification are key steps in many comput...
Classification of acute lymphoblastic leukemia using deep learning.
Microscopy research and technique
Oct 23, 2018
Acute Leukemia is a life-threatening disease common both in children and adults that can lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's bodies rapidly and takes the life within a few weeks. To diagnose A...
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