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SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

X. Luo, J. Fu, Y. Zhong, S. Liu, B. Han, M. Astaraki, S. Bendazzoli, I. Toma-Dasu, Y. Ye, Z. Chen, Y. Xia, Y. Su, J. Ye, J. He, Z. Xing, H. Wang, L. Zhu, K. Yang, X. Fang, Z. Wang, C. Lee, S. Park, J. Chun, C. Ulrich, K. Maier-Hein, N. Ndipenoch, A. Miron, Y. Li, Y. Zhang, Y. Chen, L. Bai, J. Huang, C. An, L. Wang, K. Huang, Y. Gu, T. Zhou, M. Zhou, S. Zhang, W. Liao, G. Wang, and S. Zhang. CoRR, (2023)

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Su Zhao

Qi Su

Mingxia Su

Su Zhou

Jianhua Su

Other publications of authors with the same name

A Discriminatively Learned CNN Embedding For Remote Sensing Image Scene Classification.W. Wang, L. Du, Y. Gao, Y. Su, F. Wang, and J. Cheng. IGARSS, page 3832-3835. IEEE, (2019)STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.Z. Huang, H. Wang, Z. Deng, J. Ye, Y. Su, H. Sun, J. He, Y. Gu, L. Gu, S. Zhang and 1 other author(s). CoRR, (2023)Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans.J. Ye, H. Wang, Z. Huang, Z. Deng, Y. Su, C. Tu, Q. Wu, Y. Yang, M. Wei, J. Niu and 1 other author(s). CoRR, (2022)Semantic Segmentation of High Resolution Remote Sensing Image Based on Batch-Attention Mechanism.Y. Su, Y. Wu, M. Wang, F. Wang, and J. Cheng. IGARSS, page 3856-3859. IEEE, (2019)Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance.Y. Su, J. Cheng, C. Zhong, C. Jiang, J. Ye, and J. He. Neurocomputing, (2023)A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.Z. Huang, Z. Deng, J. Ye, H. Wang, Y. Su, T. Li, H. Sun, J. Cheng, J. Chen, J. He and 4 other author(s). CoRR, (2023)SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.J. Ye, J. Cheng, J. Chen, Z. Deng, T. Li, H. Wang, Y. Su, Z. Huang, J. Chen, L. Jiang and 5 other author(s). CoRR, (2023)The General Pair-based Weighting Loss for Deep Metric Learning.H. Liu, J. Cheng, W. Wang, and Y. Su. CoRR, (2019)Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning.Y. Su, J. Cheng, H. Bai, H. Liu, and C. He. Remote. Sens., 14 (3): 533 (2022)Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images.H. Bai, J. Cheng, Y. Su, Q. Wang, H. Han, and Y. Zhang. Remote. Sens., 14 (21): 5527 (2022)

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Disambiguation of "Su, Yanzhou"

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SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Please choose a person to relate this publication to

Su Zhao

Qi Su

Mingxia Su

Su Zhou

Jianhua Su

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Su, Yanzhou"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Please choose a person to relate this publication to

Su Zhao

Qi Su

Mingxia Su

Su Zhou

Jianhua Su

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.