A comparative analysis on liver segmentation from CT images -ResNet and VGG
Author:
Affiliation:
1. School of Information Science and Technology North China University of Technology,BeiJing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10335093/10334965/10335155.pdf?arnumber=10335155
Reference13 articles.
1. A review of the application of deep learning in medical image classification and segmentation
2. U-net: Convolutional networks for biomedical image segmentation[C]//Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015:;Ronneberger,2015
3. VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
4. RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation
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