AIMC Topic: Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Identification and Staging of B-Cell Acute Lymphoblastic Leukemia Using Quantitative Phase Imaging and Machine Learning.
ACS sensors
Oct 14, 2020
Identification and classification of leukemia cells in a rapid and label-free fashion is clinically challenging and thus presents a prime arena for implementing new diagnostic tools. Quantitative phase imaging, which maps optical path length delays i...
Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges.
Journal of infection and public health
Aug 2, 2020
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of pathological changes. Cancerous cells are abnormal areas often growing in any part of human body that are life-threatening. Cancer also known as tumor must be qui...
Surveys and Questionnaires
Liver Neoplasms
Image Processing, Computer-Assisted
Lung Neoplasms
Brain Neoplasms
Male
Neoplasms
Magnetic Resonance Imaging
Female
Precursor Cell Lymphoblastic Leukemia-Lymphoma
Humans
Skin Neoplasms
Machine Learning
Sensitivity and Specificity
Tomography, X-Ray Computed
Breast Neoplasms
SDCT-AuxNet: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis.
Medical image analysis
Feb 4, 2020
Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across the globe. With the popularity of convolutional neural networks (CNNs), computer-aided diagnosis of cancer has attracted considerable attention. Such tools are...
Nucleus and cytoplasm-based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images.
Medical & biological engineering & computing
Dec 6, 2019
Acute lymphoblastic leukaemia (ALL), which is due to the malfunctioning in the bone marrow, is common among people all over the world. The haematologist suffers a lot to discriminate the presence of leukaemia in the patients using the blood smears. T...
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...
Dynamic changes in specific anti-L-asparaginase antibodies generation during acute lymphoblastic leukemia treatment.
Pharmacological reports : PR
Nov 28, 2018
BACKGROUND: L-asparaginase (L-asp) remains one of the key components of acute lymphoblastic leukemia therapy. Immune reactions to the drug are associated with its diminished activity. The aim of the study was to determine the level of IgM, IgG and Ig...
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...
CGPS: A machine learning-based approach integrating multiple gene set analysis tools for better prioritization of biologically relevant pathways.
Journal of genetics and genomics = Yi chuan xue bao
Sep 13, 2018
Gene set enrichment (GSE) analyses play an important role in the interpretation of large-scale transcriptome datasets. Multiple GSE tools can be integrated into a single method as obtaining optimal results is challenging due to the plethora of GSE to...
Premature atherosclerosis after treatment for acute lymphoblastic leukemia in childhood.
Annals of agricultural and environmental medicine : AAEM
Jan 11, 2017
INTRODUCTION: Late cardiovascular complications are the leading causes of morbidity and mortality in patients treated for common malignancies of childhood. Late cardiotoxicity include increased development of atherosclerosis and atherosclerosis - rel...
TNF-α increases in the CSF of children with acute lymphoblastic leukemia before CNS relapse.
Blood cells, molecules & diseases
Dec 23, 2016
There is scarce information regarding the concentration of cytokines in cerebrospinal fluid (CSF) of children with acute lymphoblastic leukemia (ALL) and their clinical association with CNS status. A prospective analysis of 40 patients <18years with ...
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