Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

Deep learning (DL) models for segmenting various anatomical structures have achieved great success via a static DL model that is trained in a single source domain. Yet, the static DL model is likely to perform poorly in a continually evolving environment, requiring appropriate model updates. In an i...

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Detalles Bibliográficos
Autores principales: Liu, Xiaofeng, Shih, Helen A., Xing, Fangxu, Santarnecchi, Emiliano, El Fakhri, Georges, Woo, Jonghye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312795/
https://www.ncbi.nlm.nih.gov/pubmed/37396599

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312795/
https://www.ncbi.nlm.nih.gov/pubmed/37396599

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