Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features

Robust machine learning models based on radiomic features might allow for accurate diagnosis, prognosis, and medical decision-making. Unfortunately, the lack of standardized radiomic feature extraction has hampered their clinical use. Since the radiomic features tend to be affected by low voxel stat...

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Detalles Bibliográficos
Autores principales: de Farias, Erick Costa, di Noia, Christian, Han, Changhee, Sala, Evis, Castelli, Mauro, Rundo, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560955/
https://www.ncbi.nlm.nih.gov/pubmed/34725417
http://dx.doi.org/10.1038/s41598-021-00898-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560955/
https://www.ncbi.nlm.nih.gov/pubmed/34725417
http://dx.doi.org/10.1038/s41598-021-00898-z

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