Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network-Reference-Cited by-同舟云学术

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

Published:2020 Issue: Volume: Page:772-782
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
language:
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Author:

Chao Chun-Hung,Zhu Zhuotun,Guo Dazhou,Yan Ke,Ho Tsung-Ying,Cai Jinzheng,Harrison Adam P.,Ye Xianghua,Xiao Jing,Yuille Alan,Sun Min,Lu Le,Jin Dakai

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59728-3_75

Reference24 articles.

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2. Barbu, A., Suehling, M., Xu, X., Liu, D., Zhou, S.K., Comaniciu, D.: Automatic detection and segmentation of lymph nodes from CT data. IEEE Trans. Med. Imaging 31(2), 240–250 (2011)

3. Bouget, D., Jørgensen, A., Kiss, G., Leira, H.O., Langø, T.: Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging. Int. J. Comput. Assist. Radiol. Surg. 14(6), 1–10 (2019). https://doi.org/10.1007/s11548-019-01948-8

4. Eisenhauer, E.A., et al.: New response evaluation criteria in solid tumours: revised RECIST guideline (version1.1). Eur. J. Cancer 45(2), 228–247 (2009)

5. Feulner, J., Zhou, S.K., Hammon, M., Hornegger, J., Comaniciu, D.: Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior. Med. Image Anal. 17(2), 254–270 (2013)

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