Segmenting the Liver Tumor from Computed Tomography Using 3D-UNet with IDFOA Model
Author:
Affiliation:
1. GITAM(Deemed To Be) University,Bangalore
2. Nitte Meenakshi Institute of Technology,Department of AIML,Bengaluru,India
3. Inventuriz Labs Private Limited,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390220.pdf?arnumber=10390220
Reference29 articles.
1. Liver Tumor Segmentation in CT Scans Using Modified SegNet
2. AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes
3. Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
4. Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation
5. A Multiple Layer U-Net, Un-Net, for Liver and Liver Tumor Segmentation in CT
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