SwePub
Sök i LIBRIS databas

  Extended search

id:"swepub:oai:DiVA.org:liu-143237"
 

Search: id:"swepub:oai:DiVA.org:liu-143237" > Automated quantific...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Homeyer, AndreFraunhofer MEVIS, Germany (author)

Automated quantification of steatosis: agreement with stereological point counting

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • 2017-11-13
  • BIOMED CENTRAL LTD,2017
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-143237
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143237URI
  • https://doi.org/10.1186/s13000-017-0671-yDOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Funding Agencies|Fraunhofer Society, Munich, Germany; Swedish Research Council of Medicine and Health; Swedish Research Council of Science and Engineering; Vinnova
  • Background: Steatosis is routinely assessed histologically in clinical practice and research. Automated image analysis can reduce the effort of quantifying steatosis. Since reproducibility is essential for practical use, we have evaluated different analysis methods in terms of their agreement with stereological point counting (SPC) performed by a hepatologist. Methods: The evaluation was based on a large and representative data set of 970 histological images from human patients with different liver diseases. Three of the evaluated methods were built on previously published approaches. One method incorporated a new approach to improve the robustness to image variability. Results: The new method showed the strongest agreement with the expert. At 20x resolution, it reproduced steatosis area fractions with a mean absolute error of 0.011 for absent or mild steatosis and 0.036 for moderate or severe steatosis. At 10x resolution, it was more accurate than and twice as fast as all other methods at 20x resolution. When compared with SPC performed by two additional human observers, its error was substantially lower than one and only slightly above the other observer. Conclusions: The results suggest that the new method can be a suitable automated replacement for SPC. Before further improvements can be verified, it is necessary to thoroughly assess the variability of SPC between human observers.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Nasr, PatrikLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken(Swepub:liu)patna19 (author)
  • Engel, ChristianeFraunhofer MEVIS, Germany (author)
  • Kechagias, StergiosLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken(Swepub:liu)steke00 (author)
  • Lundberg, PeterLinköpings universitet,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Radiofysikavdelningen US(Swepub:liu)petlu11 (author)
  • Ekstedt, MattiasLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken(Swepub:liu)matek92 (author)
  • Kost, HenningFraunhofer MEVIS, Germany (author)
  • Weiss, NickFraunhofer MEVIS, Germany (author)
  • Palmer, TimUniversity of Leeds, England (author)
  • Karl Hahn, HorstFraunhofer MEVIS, Germany (author)
  • Treanor, DarrenLinköpings universitet,Avdelningen för neuro- och inflammationsvetenskap,Medicinska fakulteten,University of Leeds, England; Leeds Teaching Hospital NHS Trust, England(Swepub:liu)dartr72 (author)
  • Lundström, ClaesLinköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV(Swepub:liu)clalu03 (author)
  • Fraunhofer MEVIS, GermanyAvdelningen för kardiovaskulär medicin (creator_code:org_t)

Related titles

  • In:Diagnostic Pathology: BIOMED CENTRAL LTD121746-1596

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view