Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation.
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Cites background from "Recurrent Residual Convolutional Ne..."
...Very recent, an improved version of U-Net[300] with Recurrent Residual Convolutional Neural Networks (RRCNN) which is named R2U-Net [301]....
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487 citations
Cites background from "Recurrent Residual Convolutional Ne..."
...blocks Alom et al. (2018), dense convolution blocks Li et al....
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...State-of-the-art architectures now benefit from re-designed skip connections Zhou et al. (2018b), residual convolution blocks Alom et al. (2018), dense convolution blocks Li et al. (2018), attention mechanisms Oktay et al. (2018), hybrid squeeze-excitation modules Roy et al. (2018), to name a few....
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Cites methods from "Recurrent Residual Convolutional Ne..."
...[52], [66] devised a U-net model containing both recurrent connections and residual connections....
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References
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"Recurrent Residual Convolutional Ne..." refers background or methods in this paper
...Convolutional Neural Network (DCNN) models have been proposed such as AlexNet [1], VGG [5], GoogleNet [6], Residual Net [7], DenseNet [8], and CapsuleNet [9][65]....
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...SegNet consists of two parts, one is the encoding network which is a 13-layer VGG16 network [5], and the corresponding decoding network uses pixel-wise classification layers....
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...Contrarily, the work presented in [61] evaluated VGG-16 and Incpetion-V3 models for skin lesion segmentation, but those networks contained around 138M and 23M network parameters respectively. network, and fourth column show the final resulting after performing thresholding with 0.5....
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...In the last few years, a lot of models have been proposed that have proved that deeper networks are better for recognition and segmentation tasks [5]....
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...However, training very deep models is difficult due to the vanishing gradient problem, which is resolved by implementing modern activation functions such as Rectified Linear Units (ReLU) or Exponential Linear Units (ELU) [5,6]....
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