Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort.

Frueh, Marcel; Kuestner, Thomas; Nachbar, Marcel; Thorwarth, Daniela; Schilling, Andreas; Gatidis, Sergios

Frueh, Marcel; Kuestner, Thomas; Nachbar, Marcel; Thorwarth, Daniela; Schilling, Andreas; Gatidis, Sergios.

Afiliação

Frueh M; University Hospital Tuebingen, Department of Radiology, University of Tuebingen, Hoppe-Seyler-Straße 3 Tuebingen 72076, Germany; University of Tuebingen, Institute for Visual Computing, Department of Computer Science, Sand 14 Tuebingen 72076, Germany.
Kuestner T; University Hospital Tuebingen, Department of Radiology, University of Tuebingen, Hoppe-Seyler-Straße 3 Tuebingen 72076, Germany.
Nachbar M; Section for Biomedical Physics, Department of Radiation Oncology, University of Tuebingen, Hoppe-Seyler-Straße 3 Tuebingen 72076, Germany.
Thorwarth D; Section for Biomedical Physics, Department of Radiation Oncology, University of Tuebingen, Hoppe-Seyler-Straße 3 Tuebingen 72076, Germany.
Schilling A; University of Tuebingen, Institute for Visual Computing, Department of Computer Science, Sand 14 Tuebingen 72076, Germany.
Gatidis S; University Hospital Tuebingen, Department of Radiology, University of Tuebingen, Hoppe-Seyler-Straße 3 Tuebingen 72076, Germany; Max Planck Institute for Intelligent Systems, Empirical Inference Department, Max-Planck-Ring 4 Tuebingen 72076, Germany. Electronic address: Sergios.Gatidis@med.uni-tuebi

Comput Methods Programs Biomed ; 225: 107085, 2022 Oct.

Article em En | MEDLINE | ID: mdl-36044801

Assuntos

Abdome; Imageamento por Ressonância Magnética; Humanos; Imageamento por Ressonância Magnética/métodos; Movimento (Física); Radiografia; Aprendizado de Máquina Supervisionado

Palavras-chave

Anatomical tracking; Cardiac MRI; Image-Guided radiation therapy; MR-LINAC; Self-supervised learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Abdome Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Irlanda

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