VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging.

Cossío, Fernando; Schurz, Haiko; Engström, Mathias; Barck-Holst, Carl; Tsirikoglou, Apostolia; Lundström, Claes; Gustafsson, Håkan; Smith, Kevin; Zackrisson, Sophia; Strand, Fredrik

Cossío, Fernando; Schurz, Haiko; Engström, Mathias; Barck-Holst, Carl; Tsirikoglou, Apostolia; Lundström, Claes; Gustafsson, Håkan; Smith, Kevin; Zackrisson, Sophia; Strand, Fredrik.

Afiliación

Cossío F; Karolinska Institute, Department of Oncology-Pathology, Stockholm, Sweden.
Schurz H; Karolinska University Hospital, Department of Radiology, Stockholm, Sweden.
Engström M; Karolinska Institute, Department of Oncology-Pathology, Stockholm, Sweden.
Barck-Holst C; Collective Minds Radiology, Stockholm, Sweden.
Tsirikoglou A; West Code Group, Stockholm, Sweden.
Lundström C; Karolinska Institute, Department of Oncology-Pathology, Stockholm, Sweden.
Gustafsson H; Linköping University, Center for Medical Image Science and Visualization (CMIV), Linköping, Sweden.
Smith K; Linköping University, Center for Medical Image Science and Visualization (CMIV), Linköping, Sweden.
Zackrisson S; Linköping University, Department of Medical Radiation Physics, Department of Health, Medicine and Caring Sciences, Linköping, Sweden.
Strand F; Royal Institute of Technology (KTH), Division of Computational Science and Technology, Stockholm, Sweden.

J Med Imaging (Bellingham) ; 10(6): 061404, 2023 Nov.

Article en En | MEDLINE | ID: mdl-36949901

Palabras clave

breast cancer; data management; machine learning; mammography; validation

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Med Imaging (Bellingham) Año: 2023 Tipo del documento: Article País de afiliación: Suecia

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google