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Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
Gottlich, Harrison C; Gregory, Adriana V; Sharma, Vidit; Khanna, Abhinav; Moustafa, Amr U; Lohse, Christine M; Potretzke, Theodora A; Korfiatis, Panagiotis; Potretzke, Aaron M; Denic, Aleksandar; Rule, Andrew D; Takahashi, Naoki; Erickson, Bradley J; Leibovich, Bradley C; Kline, Timothy L.
Afiliación
  • Gottlich HC; Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN, USA.
  • Gregory AV; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
  • Sharma V; Department of Urology, Mayo Clinic, Rochester, MN, USA.
  • Khanna A; Department of Urology, Mayo Clinic, Rochester, MN, USA.
  • Moustafa AU; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
  • Lohse CM; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
  • Potretzke TA; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Korfiatis P; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Potretzke AM; Department of Urology, Mayo Clinic, Rochester, MN, USA.
  • Denic A; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
  • Rule AD; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
  • Takahashi N; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Erickson BJ; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Leibovich BC; Department of Urology, Mayo Clinic, Rochester, MN, USA.
  • Kline TL; Department of Radiology, Mayo Clinic, Rochester, MN, USA. Kline.Timothy@mayo.edu.
J Digit Imaging ; 36(4): 1770-1781, 2023 08.
Article en En | MEDLINE | ID: mdl-36932251
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias Renales Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias Renales Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos