Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma.

Ho, David Joon; Agaram, Narasimhan P; Frankel, Arthur O; Lathara, Melvin; Catchpoole, Daniel; Keller, Charles; Hameed, Meera R

Ho, David Joon; Agaram, Narasimhan P; Frankel, Arthur O; Lathara, Melvin; Catchpoole, Daniel; Keller, Charles; Hameed, Meera R.

Afiliação

Ho DJ; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Cancer AI and Digital Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea.
Agaram NP; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Frankel AO; Children's Cancer Therapy Development Institute, Hillsboro, Oregon.
Lathara M; Datma Health Science, Beaverton, Oregon.
Catchpoole D; The Tumor Bank, the Children's Cancer Research Unit, Kids Research, the Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Keller C; Children's Cancer Therapy Development Institute, Hillsboro, Oregon.
Hameed MR; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: hameedm@mskcc.org.

Mod Pathol ; 37(3): 100421, 2024 Mar.

Article em En | MEDLINE | ID: mdl-38335856

Assuntos

Aprendizado Profundo; Rabdomiossarcoma; Humanos; Rabdomiossarcoma/diagnóstico; Rabdomiossarcoma/patologia; Diagnóstico Diferencial

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rabdomiossarcoma / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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