AI-Based Computational H&E Staining Enables Spatial Transcriptomic Analysis in Classic Hodgkin Lymphoma.

Kallen, Michael E; Wake, Laura M; Koka, Rima; Vidal, Elba; Kozikowski, Raymond; Rivenson, Yair; Alexanian, Serge

Kallen, Michael E; Wake, Laura M; Koka, Rima; Vidal, Elba; Kozikowski, Raymond; Rivenson, Yair; Alexanian, Serge.

Afiliação

Kallen ME; Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Wake LM; Department of Pathology, Johns Hopkins Hospital, Baltimore, MD, USA.
Koka R; Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Vidal E; Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Kozikowski R; PictorLabs Inc., Los Angeles, CA, USA.
Rivenson Y; PictorLabs Inc., Los Angeles, CA, USA.
Alexanian S; PictorLabs Inc., Los Angeles, CA, USA.

Int J Surg Pathol ; : 10668969241268410, 2024 Aug 21.

Article em En | MEDLINE | ID: mdl-39165198

Palavras-chave

artificial intelligence; computational stains; lymphoma; machine learning; neural network

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Surg Pathol Assunto da revista: PATOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

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