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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
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 |
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