Hybrid transformer-CNN with boundary-awareness network for 3D medical image segmentation

This publication has 33 references indexed in Scilit:

• Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks
  IEEE Transactions on Medical Imaging, 2019
• High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation
  IEEE Transactions on Image Processing, 2019
• Squeeze-and-Excitation Networks
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
• Attention gated networks: Learning to leverage salient regions in medical images
  Medical Image Analysis, 2019
• CE-Net: Context Encoder Network for 2D Medical Image Segmentation
  IEEE Transactions on Medical Imaging, 2019
• Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative
  Medical Image Analysis, 2019
• Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT
  European Radiology, 2019
• Robust liver vessel extraction using 3D U-Net with variant dice loss function
  Computers in Biology and Medicine, 2018
• Method for Segmentation of Knee Articular Cartilages Based on Contrast-Enhanced CT Images
  Annals of Biomedical Engineering, 2018
• H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
  IEEE Transactions on Medical Imaging, 2018