Connected-UNets: a deep learning architecture for breast mass segmentation

Breast cancer analysis implies that radiologists inspect mammograms to detect suspicious breast lesions and identify mass tumors. Artificial intelligence techniques offer automatic systems for breast mass segmentation to assist radiologists in their diagnosis. With the rapid development of deep lear...

Descripción completa

Detalles Bibliográficos
Autores principales: Baccouche, Asma, Garcia-Zapirain, Begonya, Castillo Olea, Cristian, Elmaghraby, Adel S.
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/PMC8640011/
https://www.ncbi.nlm.nih.gov/pubmed/34857755
http://dx.doi.org/10.1038/s41523-021-00358-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640011/
https://www.ncbi.nlm.nih.gov/pubmed/34857755
http://dx.doi.org/10.1038/s41523-021-00358-x

Ejemplares similares