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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-37743975
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Pathol Inform Year: 2023 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Pathol Inform Year: 2023 Document type: Article Affiliation country: Country of publication: