Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.

Gherardini, Marta; Mazomenos, Evangelos; Menciassi, Arianna; Stoyanov, Danail

Gherardini, Marta; Mazomenos, Evangelos; Menciassi, Arianna; Stoyanov, Danail.

Afiliación

Gherardini M; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & AI, Scuola Superiore SantâAZAnna, 56127 Pisa, Italy. Electronic address: https://www.santannapisa.it/it/marta-gherardini.
Mazomenos E; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, U.K; School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.
Menciassi A; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & AI, Scuola Superiore SantâAZAnna, 56127 Pisa, Italy.
Stoyanov D; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, U.K.

Comput Methods Programs Biomed ; 192: 105420, 2020 Aug.

Article en En | MEDLINE | ID: mdl-32171151

Asunto(s)

Catéteres; Aprendizaje Profundo; Fluoroscopía; Redes Neurales de la Computación; Cirugía Asistida por Computador; Rayos X; Humanos; Procesamiento de Imagen Asistido por Computador

Palabras clave

Catheter segmentation; Deep learning; Fluoroscopy; Transfer learning

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Rayos X / Fluoroscopía / Redes Neurales de la Computación / Cirugía Asistida por Computador / Catéteres / Aprendizaje Profundo Tipo de estudio: Clinical_trials Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article

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