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Graph‐convolutional‐network‐based interactive prostate segmentation in MR images
2020·56 Zitationen·Medical PhysicsOpen Access
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Zitationen
7
Autoren
2020
Jahr
Abstract
The proposed interactive segmentation method based on the GCN can accurately segment the prostate from MR images. Our method has a variety of applications in prostate cancer imaging.
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Autoren
Institutionen
- Xi'an Jiaotong University(CN)
- University of Chinese Academy of Sciences(CN)
- Cancer Hospital of Chinese Academy of Medical Sciences(CN)
- Sun Yat-sen University(CN)
- Sun Yat-sen University Cancer Center(CN)
- State Key Laboratory of Oncology in South China
- Advanced Imaging Research (United States)(US)
- The University of Texas at Dallas(US)
- The University of Texas Southwestern Medical Center(US)
Themen
Advanced Neural Network ApplicationsProstate Cancer Diagnosis and TreatmentMedical Image Segmentation Techniques