DXM-TransFuse U-net: Dual cross-modal transformer fusion U-net for automated nerve identification.

Xie, Baijun; Milam, Gary; Ning, Bo; Cha, Jaepyeong; Park, Chung Hyuk

Xie, Baijun; Milam, Gary; Ning, Bo; Cha, Jaepyeong; Park, Chung Hyuk.

Afiliación

Xie B; Department of Biomedical Engineering, School of Engineering and Applied Science, The George Washington University, 800 22nd Street NW, Science & Engineering Hall Suite 5000, Washington 20052, DC, USA.
Milam G; Department of Biomedical Engineering, School of Engineering and Applied Science, The George Washington University, 800 22nd Street NW, Science & Engineering Hall Suite 5000, Washington 20052, DC, USA.
Ning B; Children's National Hospital, 111 Michigan Avenue NW, Washington 20010, DC, USA.
Cha J; Children's National Hospital, 111 Michigan Avenue NW, Washington 20010, DC, USA.
Park CH; Department of Biomedical Engineering, School of Engineering and Applied Science, The George Washington University, 800 22nd Street NW, Science & Engineering Hall Suite 5000, Washington 20052, DC, USA. Electronic address: chpark@gwu.edu.

Comput Med Imaging Graph ; 99: 102090, 2022 07.

Article en En | MEDLINE | ID: mdl-35709628

Asunto(s)

Aprendizaje Profundo; Tejido Nervioso; Humanos; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

Deep learning; Image segmentation; Medical imaging; Multi-modal fusion

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Tejido Nervioso Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Comput Med Imaging Graph Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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