Filters








611 Hits in 8.5 sec

MIA - A free and open source software for gray scale medical image analysis

Gert Wollny, Peter Kellman, María-Jesus Ledesma-Carbayo, Matthew M Skinner, Jean-Jaques Hublin, Thomas Hierl
2013 Source Code for Biology and Medicine  
Gray scale images make the bulk of data in bio-medical image analysis, and hence, the main focus of many image processing tasks lies in the processing of these monochrome images.  ...  workflow for the prototyping of new algorithms is rather time intensive, and also not appropriate for a researcher with little or no knowledge in software development.  ...  thank the patients who's data was used in use case one and three for provided informed consent that this data can be used for scientific research and publications.  ... 
doi:10.1186/1751-0473-8-20 pmid:24119305 pmcid:PMC4015836 fatcat:xocpmo65ibfhrlwzzdno4n2v5y

Stress adaptation in older adults with and without cognitive impairment: an fMRI pattern-based similarity analysis

Xixi Wang, Kathi L. Heffner, Mia Anthony, Feng Lin
2019 Aging  
Studying stress adaptation in aMCI may shed light on pathways that contribute to the onset and progress of cognitive deterioration in aging.  ...  Briefly, the structural images were segmented into gray matter, white matter, and cerebrospinal fluid.  ...  They were free of dementia based on a comprehensive neuropsychological battery and the NINCDS-ADRDA criteria per assessments.  ... 
doi:10.18632/aging.102204 pmid:31480017 pmcid:PMC6756885 fatcat:vd6sbnobmvhyve5lauxqmsf5nq

Urban agglomeration worsens spatial disparities in climate adaptation

Seung Kyum Kim, Mia M. Bennett, Terry van Gevelt, Paul Joosse
2021 Scientific Reports  
~ 70 million people and 11 cities, making it a useful natural experiment for our study.  ...  We find that while greenspace increases proportionally with climate exposure and sensitivity, many cities exhibit discrepancies between greenspace variation and climate vulnerability.  ...  We thank Longfeng Wu for his assistance in arranging the expert group meetings for the AHP weighting process.  ... 
doi:10.1038/s41598-021-87739-1 pmid:33875718 fatcat:4xr4qaqjkzaa3ezalgihdd3d7u

Postnatal Hematopoiesis and Gut Microbiota in NOD Mice Deviate from C57BL/6 Mice

Dina Silke Malling Damlund, Stine Broeng Metzdorff, Jane Preuss Hasselby, Maria Wiese, Mia Lundsager, Dennis Sandris Nielsen, Karsten Stig Buschard, Axel Kornerup Hansen, Hanne Frøkiær
2016 Journal of Diabetes Research  
Furthermore, a distinct splenic cell profile high in a granulocytic phenotype was evident in the neonatal NOD mice whereas neonatal C57BL/6 mice showed a profile rich in monocytes.  ...  We hypothesized that NOD mice deviate from another much used mouse strain, C57BL/6, with respect to postnatal microbiota and/or hematopoiesis and compared this in newborn mice of dams housed under the  ...  The fasta file format was made compatible with the Quantitative Insight Into Microbial Ecology (QIIME) open source software package (1.8.0) with an in-house Matlab script.  ... 
doi:10.1155/2016/6321980 pmid:26783537 pmcid:PMC4689959 fatcat:42mywj2utncdnnknnuoxhryj5a

Mini-DDSM: Mammography-based Automatic Age Estimation

Charitha Dissanayake Lekamlage, Fabia Afzal, Erik Westerberg, Abbas Chaddad
2020 2020 3rd International Conference on Digital Medicine and Image Processing  
The original images in this data set unfortunately can only be retrieved by a software which is broken.  ...  Age estimation has attracted attention for its various medical applications. There are many studies on human age estimation from biomedical images.  ...  ACKNOWLEDGMENTS This work is partially funded by the research project scalable resource efficient systems for big data analytics by the Knowledge Foundation (Grant: 20140032) in Sweden.  ... 
doi:10.1145/3441369.3441370 fatcat:mxujs533uzhdtknzlm6x4jb6vq

Mini-DDSM: Mammography-based Automatic Age Estimation [article]

Charitha Dissanayake Lekamlage, Fabia Afzal, Erik Westerberg, Abbas Cheddad
2020 arXiv   pre-print
The original images in this data set unfortunately can only be retrieved by a software which is broken.  ...  Age estimation has attracted attention for its various medical applications. There are many studies on human age estimation from biomedical images.  ...  ACKNOWLEDGMENTS This work is partially funded by the research project scalable resource efficient systems for big data analytics by the Knowledge Foundation (Grant: 20140032) in Sweden.  ... 
arXiv:2010.00494v3 fatcat:nnlb547v2bdi5gu5pp7jkm5644

Interference with Glycosaminoglycan-Chemokine Interactions with a Probe to Alter Leukocyte Recruitment and Inflammation In Vivo

Sandra Li, Ulrika S. Pettersson, Bart Hoorelbeke, Elzbieta Kolaczkowska, Katrien Schelfhout, Erik Martens, Paul Kubes, Jo Van Damme, Mia Phillipson, Ghislain Opdenakker, Raffaella Bonecchi
2014 PLoS ONE  
COAM mimics glycosaminoglycans and is a nontoxic probe for the study of leukocyte recruitment and inflammation in vivo.  ...  interactions were observed for mouse MCP-1/CCL2, MIP-1a/CCL3 and MIP-1b/CCL4.  ...  Acknowledgments The authors thank Christiane Callebaut for excellent secretarial help. Author Contributions  ... 
doi:10.1371/journal.pone.0104107 pmid:25093679 pmcid:PMC4122422 fatcat:rpwyjronj5e4riz22bvl65p2j4

Mutations in Kinesin Family Member 6 Reveal Specific Role in Ependymal Cell Function and Human Neuro-Cranial Development [article]

Mia J Konjikusic, Patra Yeetong, Rungnapa Ittiwut, Kanya Suphapeetiporn, John B Wallingford, Christina A Gurnett, Vorasuk Shotelersuk, Ryan Gray
2018 bioRxiv   pre-print
Analysis of Kif6 mutant mice with scanning electron microscopy (SEM) and immunofluorescence (IF) revealed a reduction in EC cilia, without effect on other multiciliated tissues.  ...  Cerebrospinal fluid flow is crucial for neurodevelopment and homeostasis of the ventricular system of the brain, with localized flow being established by the polarized beating of the ependymal cell (EC  ...  GraphPad Prism version 7.0c for Mac (GraphPad Software) was used to analyze and plot data. 514 Images for measurement were opened in FIJI (Image J) [42] , and measures were taken using the 515 freehand  ... 
doi:10.1101/350140 fatcat:iw2vnjnl35hifh4todm6f2o3im

A machine learning perspective on the development of clinical decision support systems utilizing mass spectra of blood samples

Hyunjin Shin, Mia K. Markey
2006 Journal of Biomedical Informatics  
Technological advances in genomics and proteomics have opened a new realm of methods for early detection that show potential to overcome the drawbacks of current strategies.  ...  Mass spectrometry provides rapid and precise measurements of the sizes and relative abundances of the proteins present in a complex biological/chemical mixture.  ...  This work was supported in part by a seed grant from The University of Texas Center for Biomedical Engineering.  ... 
doi:10.1016/j.jbi.2005.04.002 pmid:15963765 fatcat:7wuwljx3tfhjtamuzorgf5ocpe

Multiple Kernel Learning Approach For Medical Image Analysis [article]

Nisar Wani, Khalid Raza
2017 bioRxiv   pre-print
algorithms for medical image analysis.  ...  In this chapter, after presenting a brief description about nature of medical images, image features and basics in machine learning and kernel methods, we present the application of multiple kernel learning  ...  OPENCV (Open Source Computer Vision) OpenCV is an open source machine learning and computer vision library.The OpenCV platform provides a unified and efficient infrastructure for applications in the domain  ... 
doi:10.1101/121509 fatcat:dfgacanmvrghdhrcmhrcew7aqe

Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik (+35 others)
2022 Frontiers in Big Data  
This is followed by a high-level overview and organization of technical advances, including an abundance of pointers to source material, which can enable these breakthroughs.  ...  The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for  ...  ., and Yu, S. (2021). A survey on incorporating domain knowledge into deep learning for medical image analysis. Med.  ... 
doi:10.3389/fdata.2022.787421 pmid:35496379 pmcid:PMC9041419 fatcat:5w2exf7vvrfvnhln7nj5uppjga

Multiple Kernel-Learning Approach for Medical Image Analysis [chapter]

Nisar Wani, Khalid Raza
2018 Soft Computing Based Medical Image Analysis  
about nature of medical images, image features and basics in machine learning and kernel methods, we present the application of multiple kernel learning algorithms for medical image analysis. keywords  ...  : kernel learning,medical image analysis, image descriptors,MKL  ...  OPENCV (Open Source Computer Vision) OpenCV is an open source machine learning and computer vision library.The OpenCV platform provides a unified and efficient infrastructure for applications in the domain  ... 
doi:10.1016/b978-0-12-813087-2.00002-6 fatcat:isyoold725bt3n4bvly4qznvvq

Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks [article]

Zhifei Zhang, Wanling Gao, Fan Zhang, Yunyou Huang, Shaopeng Dai, Fanda Fan, Jianfeng Zhan, Mengjia Du, Silin Yin, Longxin Xiong, Juan Du, Yumei Cheng, Xiexuan Zhou, Rui Ren (+2 others)
2019 arXiv   pre-print
Third, do the state-of-the-practice and state-of-the-art algorithms perform good jobs? Fourth, are there any benchmarks for measuring algorithms and systems for big medical data?  ...  Second, what are the prioritized tasks in clinician research and practices utilizing big medical data? And do we have enough publicly available data sets for performing those tasks?  ...  For medical imaging data analysis, PAIS (Pathology Analytical Imaging Standards) [183] provides a data model to manage image data, using a spatial DBMS based architecture.  ... 
arXiv:1901.00642v1 fatcat:fak46q7bgzesll6y4h7i6mcysi

Applications and Techniques for Fast Machine Learning in Science [article]

Allison McCarn Deiana, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini (+74 others)
2021 arXiv   pre-print
This is followed by a high-level overview and organization of technical advances, including an abundance of pointers to source material, which can enable these breakthroughs.  ...  The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for  ...  Various machine-learning-based algorithms for detecting hemorrhage and lesions, accelerating diagnosis, and enhancing medical video and image quality have also been proposed in biopsy analysis and surgery  ... 
arXiv:2110.13041v1 fatcat:cvbo2hmfgfcuxi7abezypw2qrm

Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors [article]

Ville Vuorinen, Mia Aarnio, Mikko Alava, Ville Alopaeus, Nina Atanasova, Mikko Auvinen, Nallannan Balasubramanian, Hadi Bordbar, Panu Erästö, Rafael Grande, Nick Hayward, Antti Hellsten (+18 others)
2020 arXiv   pre-print
Based on the literature and the public media sources, we provide evidence that the infected individuals could have been exposed to aerosols/droplet nuclei by inhaling them in significant numbers e.g.  ...  ) allows lingering in the air for O(1h) so that they could be inhaled.  ...  Acknowledgments This work was supported by the Academy of Finland grant numbers 314487 and 309570, and by the Scientific Advisory Board for Defense (MATINE) grant number VN/627/2020-PLM-9.  ... 
arXiv:2005.12612v1 fatcat:gvp53mpa6rbf5epctekzrchs2q
« Previous Showing results 1 — 15 out of 611 results