Your browser doesn't support javascript.
loading
Towards computationally efficient prediction of molecular signatures from routine histology images.
Lafarge, Maxime W; Koelzer, Viktor H.
Affiliation
  • Lafarge MW; Computational and Translational Pathology Group, Department of Pathology and Molecular Pathology, University Hospital and University of Zürich, Zürich CH-8091, Switzerland.
  • Koelzer VH; Computational and Translational Pathology Group, Department of Pathology and Molecular Pathology, University Hospital and University of Zürich, Zürich CH-8091, Switzerland. Electronic address: viktor.koelzer@usz.ch.
Lancet Digit Health ; 3(12): e752-e753, 2021 12.
Article in En | MEDLINE | ID: mdl-34686475
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Histological Techniques Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Lancet Digit Health Year: 2021 Document type: Article Affiliation country: Switzerland
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Histological Techniques Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Lancet Digit Health Year: 2021 Document type: Article Affiliation country: Switzerland