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

Abstract 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 signa...

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Huvudupphovsmän: Vahid Ashkani Chenarlogh, Ali Shabanzadeh, Mostafa Ghelich Oghli, Nasim Sirjani, Sahar Farzin Moghadam, Ardavan Akhavan, Hossein Arabi, Isaac Shiri, Zahra Shabanzadeh, Morteza Sanei Taheri, Mohammad Kazem Tarzamni
Materialtyp: Artigo
Språk:Inglês
Publicerad: Nature Portfolio 2022-04-01
Serie:Scientific Reports
Länkar:https://doi.org/10.1038/s41598-022-10429-z
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