Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images
Author:
Affiliation:
1. School of Electronic and Information Engineering, Soochow University, Jiangsu, China
2. First Affiliated Hospital of Soochow University, Suzhou, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10063192/09807368.pdf?arnumber=9807368
Reference56 articles.
1. Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images
2. False-Positive FDG PET Uptake−the Role of PET/CT
3. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
4. Non–Small Cell Lung Cancer: Dual-Modality PET/CT in Preoperative Staging
5. Non–Small Cell Lung Cancer: Prospective Comparison of Integrated FDG PET/CT and CT Alone for Preoperative Staging
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