Combining seeded region growing and k-nearest neighbours for the segmentation of routinely acquired spatio-temporal image data

PURPOSE: The acquisition conditions of medical imaging are often precisely defined, leading to a high homogeneity among different data sets. Nonetheless, outliers or artefacts still appear and need to be reliably detected to ensure a reliable diagnosis. Thus, the algorithms need to handle small samp...

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Detalles Bibliográficos
Autores principales: Zerweck, Lukas, Wesarg, Stefan, Kohlhammer, Jörn, Köhm, Michaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589180/
https://www.ncbi.nlm.nih.gov/pubmed/37270742
http://dx.doi.org/10.1007/s11548-023-02951-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589180/
https://www.ncbi.nlm.nih.gov/pubmed/37270742
http://dx.doi.org/10.1007/s11548-023-02951-w

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