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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, H. Sun, M. Zhu, S. Zhang, J. He, and Y. Qiao. CoRR, (2023)

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Ulas Ziyan

Josef Huang

Pa Huang

Feiqing Huang

Haishi Huang

Other publications of authors with the same name

Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation.C. Tu, Z. Huang, Z. Deng, Y. Yang, C. Ma, J. He, J. Ye, H. Wang, and X. Ding. LAScarQS@MICCAI, volume 13586 of Lecture Notes in Computer Science, page 24-35. Springer, (2022)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)Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation.Z. Huang, J. Ye, H. Wang, Z. Deng, T. Li, and J. He. FLARE@MICCAI, volume 14544 of Lecture Notes in Computer Science, page 15-27. Springer, (2023)An evaluation of U-Net in Renal Structure Segmentation.H. Wang, Z. Huang, J. Ye, C. Tu, Y. Yang, S. Du, Z. Deng, C. Ma, J. Niu, and J. He. CoRR, (2022)AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search.Z. Huang, Z. Wang, Z. Yang, and L. Gu. MIDL, volume 172 of Proceedings of Machine Learning Research, page 576-589. PMLR, (2022)Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference.Z. Huang, H. Wang, J. Ye, J. Niu, C. Tu, Y. Yang, S. Du, Z. Deng, L. Gu, and J. He. FLARE@MICCAI, volume 13816 of Lecture Notes in Computer Science, page 178-189. Springer, (2022)Spine Segmentation with Multi-view GCN and Boundary Constraint.D. Wang, Z. Yang, Z. Huang, and L. Gu. EMBC, page 2136-2139. IEEE, (2022)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)Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.J. Ma, Y. Zhang, S. Gu, C. Ge, S. Ma, A. Young, C. Zhu, K. Meng, X. Yang, Z. Huang and 19 other author(s). CoRR, (2023)

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Disambiguation of "Huang, Ziyan"

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SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Please choose a person to relate this publication to

Ulas Ziyan

Josef Huang

Pa Huang

Feiqing Huang

Haishi Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Ziyan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Please choose a person to relate this publication to

Ulas Ziyan

Josef Huang

Pa Huang

Feiqing Huang

Haishi Huang

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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SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.