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A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.

B. He, D. Yin, X. Chen, H. Luo, D. Xiao, M. He, G. Wang, C. Fang, L. Liu, and F. Jia. BMC Medical Imaging, 21 (1): 178 (2021)

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Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

MT-FiST: A Multi-Task Fine-Grained Spatial-Temporal Framework for Surgical Action Triplet Recognition.Y. Li, T. Xia, H. Luo, B. He, and F. Jia. IEEE J. Biomed. Health Informatics, 27 (10): 4983-4994 (October 2023)MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation.S. Zheng, X. Lin, W. Zhang, B. He, S. Jia, P. Wang, H. Jiang, J. Shi, and F. Jia. Comput. Biol. Medicine, (2021)A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information.H. Jiang, B. He, D. Fang, Z. Ma, B. Yang, and L. Zhang. Comput. Math. Methods Medicine, (2013)Prediction of Liver Respiratory Motion Based on Machine Learning.X. Bao, D. Xiao, B. He, W. Gao, J. Wang, and F. Jia. ROBIO, page 1228-1233. IEEE, (2019)A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.B. He, D. Yin, X. Chen, H. Luo, D. Xiao, M. He, G. Wang, C. Fang, L. Liu, and F. Jia. BMC Medical Imaging, 21 (1): 178 (2021)Augmented reality navigation for liver resection with a stereoscopic laparoscope.H. Luo, D. Yin, S. Zhang, D. Xiao, B. He, F. Meng, Y. Zhang, W. Cai, S. He, W. Zhang and 9 other author(s). Comput. Methods Programs Biomed., (2020)Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement.B. He, D. Xiao, Q. Hu, and F. Jia. IEEE Access, (2018)Non-contrast CT Liver Segmentation Using CycleGAN Data Augmentation from Contrast Enhanced CT.C. Song, B. He, H. Chen, S. Jia, X. Chen, and F. Jia. iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 122-129. Springer, (2020)Fully Automatic Multi-Organ Segmentation Based on Multi-Boost Learning and Statistical Shape Model Search.B. He, C. Huang, and F. Jia. VISCERAL Challenge@ISBI, volume 1390 of CEUR Workshop Proceedings, page 18-21. CEUR-WS.org, (2015)The Medical Segmentation Decathlon.M. Antonelli, A. Reinke, S. Bakas, K. Farahani, A. Kopp-Schneider, B. Landman, G. Litjens, B. Menze, O. Ronneberger, R. Summers and 48 other author(s). CoRR, (2021)

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Disambiguation of "He, Baochun"

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A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Baochun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.