Trident U-Net: An Encoder Fusion for Improved Biomedical Image Segmentation
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[1] Anton van den Hengel,et al. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition , 2016, Pattern Recognit..
[2] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[3] Paolo Dario,et al. Fully convolutional neural networks for polyp segmentation in colonoscopy , 2017, Medical Imaging.
[4] Song Wang,et al. Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images , 2018, Medical Imaging.
[5] Hao Chen,et al. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images , 2017, NeuroImage.
[6] Hao Chen,et al. Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. , 2017, IEEE journal of biomedical and health informatics.
[7] Xueding Wang,et al. Medical breast ultrasound image segmentation by machine learning , 2019, Ultrasonics.
[8] Cheng Chen,et al. Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation , 2019, MICCAI.
[9] Nima Tajbakhsh,et al. UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.
[10] Isabel N. Figueiredo,et al. Automated Polyp Detection in Colon Capsule Endoscopy , 2013, IEEE Transactions on Medical Imaging.