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Analysis of cellularity in H&E-stained rat bone marrow tissue via deep learning.
Shiffman, Smadar; Rios Piedra, Edgar A; Adedeji, Adeyemi O; Ruff, Catherine F; Andrews, Rachel N; Katavolos, Paula; Liu, Evan; Forster, Ashley; Brumm, Jochen; Fuji, Reina N; Sullivan, Ruth.
Afiliación
  • Shiffman S; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc., South San Francisco, USA.
  • Rios Piedra EA; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc., South San Francisco, USA.
  • Adedeji AO; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc., South San Francisco, USA.
  • Ruff CF; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc., South San Francisco, USA.
  • Andrews RN; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc., South San Francisco, USA.
  • Katavolos P; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc., South San Francisco, USA.
  • Liu E; Bristol Myers Squibb, New Brunswick, NJ 08901, USA.
  • Forster A; Genentech Research and Early Development (gRED), Department of Development Sciences Informatics, Genentech Inc, South San Francisco, USA.
  • Brumm J; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc., South San Francisco, USA.
  • Fuji RN; University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104, USA.
  • Sullivan R; Genentech Research and Early Development (gRED), Department of Nonclinical Biostatistics, Genentech Inc, South San Francisco, USA.
J Pathol Inform ; 14: 100333, 2023.
Article en En | MEDLINE | ID: mdl-37743975
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pathol Inform Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pathol Inform Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos