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Robust image recognition by fusion of contextual information

Xubo B. Song, Yaser Abu-Mostafa, Joseph Sill, Harvey Kasdan, Misha Pavel
2002 Information Fusion  
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

Carolina Reta, Leopoldo Altamirano, Jesus A. Gonzalez, Raquel Diaz-Hernandez, Hayde Peregrina, Ivan Olmos, Jose E. Alonso, Ruben Lobato, Ken Mills
2015 PLoS ONE  
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

P. Ashley, S. Dobin
2010 Clinical Medicine & Research  
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

Kelly Bethel, Madelyn S Luttgen, Samir Damani, Anand Kolatkar, Rachelle Lamy, Mohsen Sabouri-Ghomi, Sarah Topol, Eric J Topol, Peter Kuhn
2014 Physical Biology  
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

Samuel M. Brown, Jason Jones, Kathryn Gibb Kuttler, Roger K. Keddington, Todd L. Allen, Peter Haug
2016 BMC Emergency Medicine  
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]

Rekha Jain, G. N. Purohit
2013 Advances in Intelligent Systems and Computing  
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

Pradeep Tiwari, Aditya Saxena, Nidhi Gupta, Krishna Mohan Medicherla, Prashanth Suravajhala, Sandeep Kumar Mathur
2019 Frontiers in Genetics  
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  
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

Mubeena V.
2018 International Journal of Advanced Technology and Engineering Exploration  
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]

Anna Maria Masci, Scott White, Ben Neely, Maryanne Ardini-Polaske, Carol B Hill, Ravi S Misra, Bruce Aronow, Nathan Gaddis, Susan E. Wert, Scott M Palmer, Cliburn Chan
2020 bioRxiv   pre-print
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

Anna Maria Masci, Scott White, Ben Neely, Maryanne Ardini-Polaske, Carol B Hill, Ravi S Misra, Bruce Aronow, Nathan Gaddis, Lina Yang, Susan E Wert, Scott M Palmer, Cliburn Chan (+1 others)
2021 BMC Bioinformatics  
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

Kaarin J. Anstey
2008 Gerontology  
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

F Boray Tek, Andrew G Dempster, Izzet Kale
2009 Malaria Journal  
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

HARISH BABU ARUNACHALAM, RASHIKA MISHRA, BOGDAN ARMASELU, OVIDIU DAESCU, MARIA MARTINEZ, PATRICK LEAVEY, DINESH RAKHEJA, KEVIN CEDERBERG, ANITA SENGUPTA, MOLLY NI'SUILLEABHAIN
2016 Biocomputing 2017  
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

Jonathan Beckwith, Kostia Bergman, Michael Carson, Tobias Doerr, Lisa Geller, Robin Pierce, Sheldon Krimsky, Carol Martin, Marina Santiago, Amy Vashlishan Murray, Celestine Warren, Chad Zichterman
2017 The American history teacher  
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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