AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data

Deep learning (DL) has been proposed to automate image segmentation and provide accuracy, consistency, and efficiency. Accurate segmentation of lipomatous tumors (LTs) is critical for correct tumor radiomics analysis and localization. The major challenge of this task is data heterogeneity, including...

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Detalles Bibliográficos
Autores principales: Liu, Chih-Chieh, Abdelhafez, Yasser G., Yap, S. Paran, Acquafredda, Francesco, Schirò, Silvia, Wong, Andrew L., Sarohia, Dani, Bateni, Cyrus, Darrow, Morgan A., Guindani, Michele, Lee, Sonia, Zhang, Michelle, Moawad, Ahmed W., Ng, Quinn Kwan-Tai, Shere, Layla, Elsayes, Khaled M., Maroldi, Roberto, Link, Thomas M., Nardo, Lorenzo, Qi, Jinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287587/
https://www.ncbi.nlm.nih.gov/pubmed/36854923
http://dx.doi.org/10.1007/s10278-023-00785-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287587/
https://www.ncbi.nlm.nih.gov/pubmed/36854923
http://dx.doi.org/10.1007/s10278-023-00785-1

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