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Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images.
Bokhorst, John-Melle; Nagtegaal, Iris D; Fraggetta, Filippo; Vatrano, Simona; Mesker, Wilma; Vieth, Michael; van der Laak, Jeroen; Ciompi, Francesco.
Affiliation
  • Bokhorst JM; Department of pathology, Radboud University Medical Center, Nijmegen, The Netherlands. john-melle.bokhorst@radboudumc.nl.
  • Nagtegaal ID; Department of pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Fraggetta F; Pathology Unit Gravina Hospital, Gravina Hospital, Caltagirone, Italy.
  • Vatrano S; Pathology Unit Gravina Hospital, Gravina Hospital, Caltagirone, Italy.
  • Mesker W; Leids Universitair Medisch Centrum, Leiden, The Netherlands.
  • Vieth M; Klinikum Bayreuth, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany.
  • van der Laak J; Department of pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Ciompi F; Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Sci Rep ; 13(1): 8398, 2023 05 24.
Article in En | MEDLINE | ID: mdl-37225743
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Country of publication: