SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Hjelmare Martin) srt2:(2018)"

Sökning: WFRF:(Hjelmare Martin) > (2018)

  • Resultat 1-3 av 3
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Sullivan, Devin P., et al. (författare)
  • Deep learning is combined with massive-scale citizen science to improve large-scale image classification
  • 2018
  • Ingår i: Nature Biotechnology. - : NATURE PUBLISHING GROUP. - 1087-0156 .- 1546-1696. ; 36:9, s. 820-
  • Tidskriftsartikel (refereegranskat)abstract
    • Pattern recognition and classification of images are key challenges throughout the life sciences. We combined two approaches for large-scale classification of fluorescence microscopy images. First, using the publicly available data set from the Cell Atlas of the Human Protein Atlas (HPA), we integrated an image-classification task into a mainstream video game (EVE Online) as a mini-game, named Project Discovery. Participation by 322,006 gamers over 1 year provided nearly 33 million classifications of subcellular localization patterns, including patterns that were not previously annotated by the HPA. Second, we used deep learning to build an automated Localization Cellular Annotation Tool (Loc-CAT). This tool classifies proteins into 29 subcellular localization patterns and can deal efficiently with multi-localization proteins, performing robustly across different cell types. Combining the annotations of gamers and deep learning, we applied transfer learning to create a boosted learner that can characterize subcellular protein distribution with F1 score of 0.72. We found that engaging players of commercial computer games provided data that augmented deep learning and enabled scalable and readily improved image classification.
  •  
2.
  • Thul, Peter, et al. (författare)
  • Multilocalizing Human Proteins
  • 2018
  • Ingår i: Molecular Biology of the Cell. - : AMER SOC CELL BIOLOGY. - 1059-1524 .- 1939-4586. ; 29:26
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
  •  
3.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-3 av 3

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 Stäng

Kopiera och spara länken för att återkomma till aktuell vy