Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review

Contemporary deep learning-based decision systems are well-known for requiring high-volume datasets in order to produce generalized, reliable, and high-performing models. However, the collection of such datasets is challenging, requiring time-consuming processes involving also expert clinicians with...

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Detalles Bibliográficos
Autores principales: Dimitriadis, Avtantil, Trivizakis, Eleftherios, Papanikolaou, Nikolaos, Tsiknakis, Manolis, Marias, Kostas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Critical Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742072/
https://www.ncbi.nlm.nih.gov/pubmed/36503979
http://dx.doi.org/10.1186/s13244-022-01315-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742072/
https://www.ncbi.nlm.nih.gov/pubmed/36503979
http://dx.doi.org/10.1186/s13244-022-01315-3

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