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Cited by 29AI in cancer detectionMedical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Open access
Chao, Chun-Hung, Zhu, Zhuotun, Guo, Dazhou, Yan, Ke, Ho, Tsung-Ying, Cai, Jinzheng, Harrison, Adam P., Ye, Xianghua +5 more·2020·Lecture Notes in Computer Science
DOI 10.1007/978-3-030-59728-3_75
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Integrity signals

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Crossref · 10.1007/978-3-030-59728-3_75

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Neighborhood information is aggregated from heterogeneous networks of drug, target, and disease information to predict drug-target interactions.

    “For example, neighborhood information are aggregated from heterogeneous networks comprised of drug, target, and disease information to predict drug-target interactions (Section 2.2) [180].”

    From Graph representation learning in biomedicine and healthcare (2022) · cites this paper as [180]

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References 24 · Cited by 29

Authors
Chao, C.-H., Zhu, Z., Guo, D., Yan, K., Ho, T.-Y., Cai, J., Harrison, A. P., Ye, X., Xiao, J., Yuille, A., Sun, M., Lu, L., & Jin, D.
Affiliations
  • National Tsing Hua University (TW)
  • Johns Hopkins University (US)
  • Chang Gung Memorial Hospital (TW)
  • First Affiliated Hospital Zhejiang University (CN)
  • Ping An (China) (CN)
Corresponding author
Chao, Chun-Hung
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2020
Pages
772-782
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-030-59728-3_75
OpenAlex
W3097153127
Cited by
29
References
24
Citations by year
2025: 1 · 2024: 5 · 2023: 3 · 2022: 9 · 2021: 8 · 2020: 3
FWCI
2.20
Type
conference paper
Language
en
Open access
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
Keywords
lymph node metastasis, graph neural networks, PET/CT, radiotherapy treatment planning, 3D convolutional neural networks, lymphatic system, lymph node classification, false positive reduction

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