Clinical target segmentation using a novel deep neural network: double attention Res-U-Net

We introduced Double Attention Res-U-Net architecture to address medical image segmentation problem in different medical imaging system. Accurate medical image segmentation suffers from some challenges including, difficulty of different interest object modeling, presence of noise, and signal dropout...

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Detalles Bibliográficos
Autores principales: Ashkani Chenarlogh, Vahid, Shabanzadeh, Ali, Ghelich Oghli, Mostafa, Sirjani, Nasim, Farzin Moghadam, Sahar, Akhavan, Ardavan, Arabi, Hossein, Shiri, Isaac, Shabanzadeh, Zahra, Sanei Taheri, Morteza, Kazem Tarzamni, Mohammad
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/PMC9038725/
https://www.ncbi.nlm.nih.gov/pubmed/35468984
http://dx.doi.org/10.1038/s41598-022-10429-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038725/
https://www.ncbi.nlm.nih.gov/pubmed/35468984
http://dx.doi.org/10.1038/s41598-022-10429-z

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