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Simulation of bright-field microscopy images depicting pap-smear specimen

As digital imaging is becoming a fundamental part of medical and biomedical research, the demand for computer-based evaluation using advanced image analysis is becoming an integral part of many research projects. A common problem when developing new image analysis algorithms is the need of large dat...

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Detalles Bibliográficos
Autores principales: Malm, Patrik, Brun, Anders, Bengtsson, Ewert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374707/
https://www.ncbi.nlm.nih.gov/pubmed/25573002
http://dx.doi.org/10.1002/cyto.a.22624
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author Malm, Patrik
Brun, Anders
Bengtsson, Ewert
author_facet Malm, Patrik
Brun, Anders
Bengtsson, Ewert
author_sort Malm, Patrik
collection PubMed
description As digital imaging is becoming a fundamental part of medical and biomedical research, the demand for computer-based evaluation using advanced image analysis is becoming an integral part of many research projects. A common problem when developing new image analysis algorithms is the need of large datasets with ground truth on which the algorithms can be tested and optimized. Generating such datasets is often tedious and introduces subjectivity and interindividual and intraindividual variations. An alternative to manually created ground-truth data is to generate synthetic images where the ground truth is known. The challenge then is to make the images sufficiently similar to the real ones to be useful in algorithm development. One of the first and most widely studied medical image analysis tasks is to automate screening for cervical cancer through Pap-smear analysis. As part of an effort to develop a new generation cervical cancer screening system, we have developed a framework for the creation of realistic synthetic bright-field microscopy images that can be used for algorithm development and benchmarking. The resulting framework has been assessed through a visual evaluation by experts with extensive experience of Pap-smear images. The results show that images produced using our described methods are realistic enough to be mistaken for real microscopy images. The developed simulation framework is very flexible and can be modified to mimic many other types of bright-field microscopy images. © 2015 The Authors. Published by Wiley Periodicals, Inc. on behalf of ISAC
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spelling pubmed-43747072015-03-27 Simulation of bright-field microscopy images depicting pap-smear specimen Malm, Patrik Brun, Anders Bengtsson, Ewert Cytometry A Original Articles As digital imaging is becoming a fundamental part of medical and biomedical research, the demand for computer-based evaluation using advanced image analysis is becoming an integral part of many research projects. A common problem when developing new image analysis algorithms is the need of large datasets with ground truth on which the algorithms can be tested and optimized. Generating such datasets is often tedious and introduces subjectivity and interindividual and intraindividual variations. An alternative to manually created ground-truth data is to generate synthetic images where the ground truth is known. The challenge then is to make the images sufficiently similar to the real ones to be useful in algorithm development. One of the first and most widely studied medical image analysis tasks is to automate screening for cervical cancer through Pap-smear analysis. As part of an effort to develop a new generation cervical cancer screening system, we have developed a framework for the creation of realistic synthetic bright-field microscopy images that can be used for algorithm development and benchmarking. The resulting framework has been assessed through a visual evaluation by experts with extensive experience of Pap-smear images. The results show that images produced using our described methods are realistic enough to be mistaken for real microscopy images. The developed simulation framework is very flexible and can be modified to mimic many other types of bright-field microscopy images. © 2015 The Authors. Published by Wiley Periodicals, Inc. on behalf of ISAC BlackWell Publishing Ltd 2015-03 2015-01-08 /pmc/articles/PMC4374707/ /pubmed/25573002 http://dx.doi.org/10.1002/cyto.a.22624 Text en © 2015 The Authors. Published by Wiley Periodicals, Inc. on behalf of ISAC http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Malm, Patrik
Brun, Anders
Bengtsson, Ewert
Simulation of bright-field microscopy images depicting pap-smear specimen
title Simulation of bright-field microscopy images depicting pap-smear specimen
title_full Simulation of bright-field microscopy images depicting pap-smear specimen
title_fullStr Simulation of bright-field microscopy images depicting pap-smear specimen
title_full_unstemmed Simulation of bright-field microscopy images depicting pap-smear specimen
title_short Simulation of bright-field microscopy images depicting pap-smear specimen
title_sort simulation of bright-field microscopy images depicting pap-smear specimen
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374707/
https://www.ncbi.nlm.nih.gov/pubmed/25573002
http://dx.doi.org/10.1002/cyto.a.22624
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