Deep Learning for Automated Liver Segmentation to Aid in the Study of Infectious Diseases in Nonhuman Primates.

[1]  Ji Hyun Lee,et al.  Atlas-based liver segmentation for nonhuman primate research , 2020, International Journal of Computer Assisted Radiology and Surgery.

[2]  Changming Sun,et al.  RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans , 2018, Frontiers in Bioengineering and Biotechnology.

[3]  Ross B. Girshick,et al.  Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Ross B. Girshick,et al.  Mask R-CNN , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Atsushi Sagata,et al.  Concatenated Feature Pyramid Network for Instance Segmentation , 2019, 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM).

[6]  Snehashis Roy,et al.  Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI , 2019, Medical Imaging.

[7]  Huiyan Jiang,et al.  AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes , 2019, IEEE Access.

[8]  Kaiming He,et al.  Panoptic Feature Pyramid Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Ying Chen,et al.  M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network , 2018, AAAI.

[10]  Hans Meine,et al.  Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing , 2018, Scientific Reports.

[11]  Alexey A. Shvets,et al.  Feature Pyramid Network for Multi-class Land Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[12]  Pengfei Xiong,et al.  Pyramid Attention Network for Semantic Segmentation , 2018, BMVC.

[13]  David Beymer,et al.  Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network , 2018, Medical Imaging.

[14]  Chi-Wing Fu,et al.  H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes , 2018, IEEE Transactions on Medical Imaging.

[15]  Xiao Han,et al.  Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method , 2017, ArXiv.

[16]  Kaiming He,et al.  Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  M. St. Claire,et al.  Safety Precautions and Operating Procedures in an (A)BSL-4 Laboratory: 4. Medical Imaging Procedures. , 2016, Journal of visualized experiments : JoVE.

[18]  Thomas Brox,et al.  3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.

[19]  Seyed-Ahmad Ahmadi,et al.  V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).

[20]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[21]  C. Albanese,et al.  Small animal imaging of human disease: from bench to bedside and back. , 2013, The American journal of pathology.

[22]  Zhuowen Tu,et al.  Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..