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Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.
Gross, Polina; Honnorat, Nicolas; Varol, Erdem; Wallner, Markus; Trappanese, Danielle M; Sharp, Thomas E; Starosta, Timothy; Duran, Jason M; Koller, Sarah; Davatzikos, Christos; Houser, Steven R.
Affiliation
  • Gross P; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
  • Honnorat N; University of Pennsylvania, Center for Biomedical Image Computing and Analytics, Department of Radiology, Philadelphia, PA, 19104, USA.
  • Varol E; University of Pennsylvania, Center for Biomedical Image Computing and Analytics, Department of Radiology, Philadelphia, PA, 19104, USA.
  • Wallner M; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
  • Trappanese DM; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
  • Sharp TE; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
  • Starosta T; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
  • Duran JM; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
  • Koller S; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
  • Davatzikos C; University of Pennsylvania, Center for Biomedical Image Computing and Analytics, Department of Radiology, Philadelphia, PA, 19104, USA.
  • Houser SR; Temple University School of Medicine, Cardiovascular Research Center, Department of Physiology, Philadelphia, PA 19140, USA.
Sci Rep ; 6: 23431, 2016 Mar 23.
Article de En | MEDLINE | ID: mdl-27005843

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement d'image par ordinateur / Logiciel / Noyau de la cellule / Technique d'immunofluorescence / Myocytes cardiaques / Apprentissage machine Limites: Animals / Humans Langue: En Journal: Sci Rep Année: 2016 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement d'image par ordinateur / Logiciel / Noyau de la cellule / Technique d'immunofluorescence / Myocytes cardiaques / Apprentissage machine Limites: Animals / Humans Langue: En Journal: Sci Rep Année: 2016 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni