A generative adversarial network for synthetization of regions of interest based on digital mammograms

Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models is often improved through architectural configuration, tweaks, the use of enormous training data, and skillful selection of hyperparameters. T...

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Detalles Bibliográficos
Autores principales: Oyelade, Olaide N., Ezugwu, Absalom E., Almutairi, Mubarak S., Saha, Apu Kumar, Abualigah, Laith, Chiroma, Haruna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008034/
https://www.ncbi.nlm.nih.gov/pubmed/35418566
http://dx.doi.org/10.1038/s41598-022-09929-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008034/
https://www.ncbi.nlm.nih.gov/pubmed/35418566
http://dx.doi.org/10.1038/s41598-022-09929-9

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