Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Cluster detection and field-of-view quality rating: Applied to automated Pap-smear analysis
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för visuell information och interaktion. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Bildanalys och människa-datorinteraktion.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för visuell information och interaktion. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Bildanalys och människa-datorinteraktion.
2013 (engelsk)Inngår i: Proc. 2nd International Conference on Pattern Recognition Applications and Methods, SciTePress, 2013, s. 355-364Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Automated cervical cancer screening systems require high resolution analysis of a large number of epithelial cells, involving complex algorithms, mainly analysing the shape and texture of cell nuclei. This can be a very time consuming process. An initial selection of relevant fields-of-view in low resolution images could limit the number of fields to be further analysed at a high resolution. In particular, the detection of cell clusters is of interest for nuclei segmentation improvement, and for diagnostic purpose, malignant and endometrial cells being more prone to stick together in clusters than other cells. In this paper, we propose methods aiming at evaluating the quality of fields-of-view in bright-field microscope images of cervical cells. The approach consists in the construction of neighbourhood graphs using the nuclei as the set of vertices. Transformations are then applied on such graphs in order to highlight the main structures in the image. The methods result in the delineation of regions with varying cell density and the identification of cell clusters. Clustering methods are evaluated using a dataset of manually delineated clusters and compared to a related work.

sted, utgiver, år, opplag, sider
SciTePress, 2013. s. 355-364
HSV kategori
Forskningsprogram
Datoriserad bildanalys
Identifikatorer
URN: urn:nbn:se:uu:diva-212509ISBN: 978-989-8565-41-9 (tryckt)OAI: oai:DiVA.org:uu-212509DiVA, id: diva2:678139
Konferanse
2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM), February 15-18, 2013, Barcelona, Spain
Tilgjengelig fra: 2013-12-11 Laget: 2013-12-11 Sist oppdatert: 2018-01-11bibliografisk kontrollert
Inngår i avhandling
1. Image Analysis in Support of Computer-Assisted Cervical Cancer Screening
Åpne denne publikasjonen i ny fane eller vindu >>Image Analysis in Support of Computer-Assisted Cervical Cancer Screening
2013 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Cervical cancer is a disease that annually claims the lives of over a quarter of a million women. A substantial number of these deaths could be prevented if population wide cancer screening, based on the Papanicolaou test, were globally available. The Papanicolaou test involves a visual review of cellular material obtained from the uterine cervix. While being relatively inexpensive from a material standpoint, the test requires highly trained cytology specialists to conduct the analysis. There is a great shortage of such specialists in developing countries, causing these to be grossly overrepresented in the mortality statistics. For the last 60 years, numerous attempts at constructing an automated system, able to perform the screening, have been made. Unfortunately, a cost-effective, automated system has yet to be produced.

In this thesis, a set of methods, aimed to be used in the development of an automated screening system, are presented. These have been produced as part of an international cooperative effort to create a low-cost cervical cancer screening system. The contributions are linked to a number of key problems associated with the screening: Deciding which areas of a specimen that warrant analysis, delineating cervical cell nuclei, rejecting artefacts to make sure that only cells of diagnostic value are included when drawing conclusions regarding the final diagnosis of the specimen. Also, to facilitate efficient method development, two methods for creating synthetic images that mimic images acquired from specimen are described.

sted, utgiver, år, opplag, sider
Uppsala: Acta Universitatis Upsaliensis, 2013. s. 95
Serie
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1106
Emneord
Image analysis, cervical cancer, pap-smear, synthetic images, screening, image processing, cytometry
HSV kategori
Forskningsprogram
Datoriserad bildbehandling
Identifikatorer
urn:nbn:se:uu:diva-212518 (URN)978-91-554-8828-4 (ISBN)
Disputas
2014-02-07, Room 2446, Polacksbacken, Lägerhyddsvägen 2, Uppsala, 13:15 (engelsk)
Opponent
Veileder
Forskningsfinansiär
Vinnova, 2008-01712Swedish Research Council, 2008-2738
Tilgjengelig fra: 2014-01-16 Laget: 2013-12-11 Sist oppdatert: 2014-07-21

Open Access i DiVA

fulltext(17693 kB)240 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 17693 kBChecksum SHA-512
0624762861596c25316de3142814ad38af6515ad8b184ad5075612eb6234e3d79f9b909477e9b720a1c0196004d609669622cceb301d3fc5655860b2cc7ef2fb
Type fulltextMimetype application/pdf

Søk i DiVA

Av forfatter/redaktør
Malm, PatrikBengtsson, Ewert
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 240 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

isbn
urn-nbn

Altmetric

isbn
urn-nbn
Totalt: 749 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf