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Robust image recognition by fusion of contextual information
2002
Information Fusion
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This paper studies the fusion of contextual information in pattern recognition, with applications to biomedical image identification. ...
These two techniques are applied to two medical applications: white blood cell image classification and microscopic urinalysis. ...
White blood cell identification
Introduction WBC analysis is one of the major routine laboratory examinations. ...
doi:10.1016/s1566-2535(02)00092-1
fatcat:yktp7uiwirblhkqqxxsolusmfu
Segmentation and Classification of Bone Marrow Cells Images Using Contextual Information for Medical Diagnosis of Acute Leukemias
2015
PLoS ONE
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Our research presents a contextual analysis methodology for the detection of acute leukemia subtypes from bone marrow cells images. ...
We propose a cells separation algorithm to break up overlapped regions. In this phase, we achieved an average accuracy of 95% in the evaluation of the segmentation process. ...
Cells identification Contextual information that relates an object with other objects can provide relevant information to the object recognition. ...
doi:10.1371/journal.pone.0130805
pmid:26107374
pmcid:PMC4479443
fatcat:5b6eel6doffnhbf3b7yjz2fj2y
PS1-12: Use of Tumor Registry to Obtain Family History Information
2010
Clinical Medicine & Research
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Results: Results on focus group demographics, media use, trust in information, and most trusted information sources are presented. ...
Finally, information on the impact of media presentations on member opinion and decision-making were assessed. ...
Patients diagnosed with a low/intermediate grade carcinoma would be treated surgically white patients diagnosed with small cell carcinoma with chemotherapy. ...
doi:10.3121/cmr.2010.943.ps1-12
fatcat:jfi62zraxvgv3cg4jyiekda2cu
Fluid phase biopsy for detection and characterization of circulating endothelial cells in myocardial infarction
2014
Physical Biology
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In addition, CECs exhibited distinct morphological features that enable differentiation from surrounding white blood cells. CECs were found both as individual cells and as aggregates. ...
Here, we adapted a fluid phase biopsy technology platform that successfully detects circulating tumor cells in blood of cancer patients (HD-CTC assay), to create a High-Definition Circulating Endothelial ...
KB, MSL, AK and PK have ownership in Epic Sciences. This is manuscript # 21469 from The Scripps Research Institute. ...
doi:10.1088/1478-3975/11/1/016002
pmid:24406475
pmcid:PMC4143170
fatcat:ehsdedgsrrhlhjkc766ndwj7zm
Prospective evaluation of an automated method to identify patients with severe sepsis or septic shock in the emergency department
2016
BMC Emergency Medicine
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We evaluated the accuracy of the resulting model in 93,733 ED encounters from Results: The final model included mean blood pressure, temperature, age, heart rate, and white blood cell count. ...
Rapid identification and treatment are critical for septic patients. We therefore developed a probabilistic model to identify septic patients in the emergency department (ED). ...
Availability of data and materials In order to protect patient privacy and comply with relevant regulations, identified data are unavailable. ...
doi:10.1186/s12873-016-0095-0
pmid:27549755
pmcid:PMC4994262
fatcat:mv4z4ec4jba4ldcvjw2pma5xdy
Sense Disambiguation Technique for Information Retrieval in Web Search
[chapter]
2013
Advances in Intelligent Systems and Computing
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The classification rates for individual white blood cells varied between 97% for training data and 95% for testing data depending on the individual cell type-monocyte, lymphocyte, eosinophil, basophil ...
CI techniques were used for syntactical and contextual image retrieval of leukemic images. ...
Leukemia is a group of serious blood diseases affecting white blood cells or leukocytes in the bone marrow. ...
doi:10.1007/978-3-642-31600-5_44
fatcat:navzdpgyanhq3ih5k6pavbuwuq
Systems Genomics of Thigh Adipose Tissue From Asian Indian Type-2 Diabetics Revealed Distinct Protein Interaction Hubs
2019
Frontiers in Genetics
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plays a role in pathophysiology of AIT2DM. ...
Using a phenotypic attribute, a contextual neighbor was identified across all the traits, viz. body mass index (BMI) statistics, adipocyte size, lipid parameters, homeostatic model assessment- insulin ...
The contextual information of the neighboring interacting partners was checked for in agreement with the p-value (Bonforreni <0.05). ...
doi:10.3389/fgene.2018.00679
pmid:30671081
pmcid:PMC6331691
fatcat:eigw53dldjfa7ft57uhdpzaasm
Navigating the disease landscape: knowledge representations for contextualizing molecular signatures
2018
Briefings in Bioinformatics
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Large amounts of data emerging from experiments in molecular medicine are leading to the identification of molecular signatures associated with disease subtypes. ...
In this review, we discuss knowledge representations that can be useful to explore the biological context of molecular signatures, in particular three main approaches, namely, pathway mapping approaches ...
are composed of a financial contribution from the European Union's Seventh Framework Programme (FP7/ 2007-2013) and European Federation of Pharmaceutical Industries and Associations (EFPIA) companies' in ...
doi:10.1093/bib/bby025
pmid:29684165
pmcid:PMC6556902
fatcat:iyfard4tdzgnnmhhiqibld756a
An integrated optimized hybrid intensity modeled brain tumor image segmentation using artificial bee colony algorithm
2018
International Journal of Advanced Technology and Engineering Exploration
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Incorporating contextual features in the classification improves recognition accuracy. ...
The method also performs neo-vasculature assessment for detecting the formation of new blood vessels to serve the tumor cells other than the normal cells. ...
doi:10.19101/ijatee.2018.545019
fatcat:72xtsh7txfgpnjvxdcn5kq577e
Ontology-guided segmentation and object identification for developmental mouse lung immunofluorescent images
[article]
2020
bioRxiv
pre-print
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We demonstrate the results of ontology-guided segmentation and object identification in mouse developmental lung images from the Bioinformatics REsource ATlas for the Healthy lung (BREATH) database of ...
For images of the developmental mouse lung, these cells are themselves organized into densely packed higher-level anatomical structures. ...
Funding for this study was provided by the National Heart, Lung & Blood Institute grant 5U01-HL122638 for "Molecular Atlas of Lung Development -Data Coordinating Center". ...
doi:10.1101/2020.06.26.174367
fatcat:ja63uhe4njfajnxpwwcxk73yda
Ontology-guided segmentation and object identification for developmental mouse lung immunofluorescent images
2021
BMC Bioinformatics
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information to identify histological structures, that constrains and simplifies the process of segmentation and object identification. ...
We demonstrate the results of ontology-guided segmentation and object identification in mouse developmental lung images from the Bioinformatics REsource ATlas for the Healthy lung database of the Molecular ...
By providing contextual information in a machine-accessible format, application ontologies increase the feasibility of automated image segmentation and object identification. ...
doi:10.1186/s12859-021-04008-8
pmid:33622235
fatcat:5ggjpwfn3bftbbjgm4ajrraypi
Alcohol Exposure and Cognitive Development: An Example of Why We Need a Contextualized, Dynamic Life Course Approach to Cognitive Ageing – A Mini-Review
2008
Gerontology
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A contextualized, dynamic approach to life course epidemiology is proposed. ...
However, there is a need to integrate this broad literature within a framework that incorporates the interaction of behavioral and ecological influences with cognitive development. ...
Prevention of exposure therefore requires (a) identification of the individual characteristics and ecological or contextual factors that give rise to the exposure, and (b) identification of strategies ...
doi:10.1159/000161735
pmid:18841026
fatcat:oxcgud5rgvdqzes664o2ldt2nm
Computer vision for microscopy diagnosis of malaria
2009
Malaria Journal
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This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. ...
In addition, a general pattern recognition framework to perform diagnosis, which includes image acquisition, pre-processing, segmentation, and pattern classification components, is described. ...
William Jarra (National Institute of Medical Research, London, UK) for supporting our research with useful discussions on the malarial parasite detection and identification and providing with many sample ...
doi:10.1186/1475-2875-8-153
pmid:19594927
pmcid:PMC2719653
fatcat:4syyewgu4rfmzh4byzhshgb4yq
COMPUTER AIDED IMAGE SEGMENTATION AND CLASSIFICATION FOR VIABLE AND NON-VIABLE TUMOR IDENTIFICATION IN OSTEOSARCOMA
2016
Biocomputing 2017
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In our experiments, the accuracy of the discussed approach is 100% in viable tumor and coagulative necrosis identification while it is around 90% for fibrosis and acellular/hypocellular tumor osteoid, ...
We expect the developed software to lead to a significant increase in accuracy and decrease in interobserver variability in assessment of necrosis by the pathologists and a reduction in the time spent ...
The current method works well in the given sampled datasets. We propose to extend it to all images in the dataset by incorporating contextual information that yield additional data. ...
doi:10.1142/9789813207813_0020
pmid:27896975
fatcat:os4nyvdnhnhbvpkzzjwydfg4ka
Using Dialogues to Explore Genetics, Ancestry, and Race
2017
The American history teacher
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The dialogue series can be incorporated into classroom or informal science education settings. ...
We have developed a set of dialogues for discussing the complex science of genetics, ancestry, and race that is contextualized in real human interactions and that contends with the social and ethical implications ...
required of whites even though, by the 1970s, sickle cell disease was understood to occur in both blacks and whites. ...
doi:10.1525/abt.2017.79.7.525
fatcat:ssd7rsmtfna4ppaxjjk27rljpe
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