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Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.
Remedios, Lucas W; Bao, Shunxing; Kerley, Cailey I; Cai, Leon Y; Rheault, François; Deng, Ruining; Cui, Can; Chiron, Sophie; Lau, Ken S; Roland, Joseph T; Washington, Mary K; Coburn, Lori A; Wilson, Keith T; Huo, Yuankai; Landman, Bennett A.
Afiliação
  • Remedios LW; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Bao S; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Kerley CI; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Cai LY; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
  • Rheault F; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Deng R; Department of Computer Science, Université de Sherbrooke, Sherbrooke, Québec, Canada.
  • Cui C; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Chiron S; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Lau KS; Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Roland JT; Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Washington MK; Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Coburn LA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Wilson KT; Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Huo Y; Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Landman BA; Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Article em En | MEDLINE | ID: mdl-37465840

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos