Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and 68Ga-PSMA-11 PET/CT.

S. Zhong, Y. Wu, Z. Liu, Z. Pan, B. Huang, and Q. Yang. CBMS, page 329-332. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bingsheng He

Bingsheng Ke

Haishi Huang

Zhida Huang

Ying Huang

Other publications of authors with the same name

A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images.B. Huang, Z. Xu, S. Chan, Z. Liu, H. Wen, C. Hou, Q. Huang, M. Jiang, C. Dong, J. Zeng and 4 other author(s). MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 44-53. Springer, (2023)Accurate and Feasible Deep Learning Based Semi-Automatic Segmentation in CT for Radiomics Analysis in Pancreatic Neuroendocrine Neoplasms.B. Huang, X. Lin, J. Shen, X. Chen, J. Chen, Z. Li, M. Wang, C. Yuan, X. Diao, Y. Luo and 1 other author(s). IEEE J. Biomed. Health Informatics, 25 (9): 3498-3506 (2021)Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and 68Ga-PSMA-11 PET/CT.S. Zhong, Y. Wu, Z. Liu, Z. Pan, B. Huang, and Q. Yang. CBMS, page 329-332. IEEE, (2022)Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis.Y. Li, Y. Zhao, M. Wang, F. Li, J. Chen, Y. Luo, S. Feng, X. Lin, and B. Huang. CBMS, page 351-354. IEEE, (2022)Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis.F. Li, M. Wang, B. Huang, X. Duan, Z. Zhang, Z. Ye, and B. Huang. MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 63-71. Springer, (2023)Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning.Z. Cai, Y. Ye, Z. Zhong, H. Lin, Z. Xu, B. Huang, W. Deng, Q. Wu, K. Lei, J. Lyu and 2 other author(s). CMMCA@MICCAI, volume 14243 of Lecture Notes in Computer Science, page 150-159. Springer, (2023)Self-feedback Transformer: A Multi-label Diagnostic Model for Real-World Pancreatic Neuroendocrine Neoplasms Data.M. Wang, Y. Li, B. Huang, C. Yuan, Y. Wang, Y. Luo, and B. Huang. MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 521-530. Springer, (2023)

BibSonomy

Disambiguation of "Huang, Bingsheng"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and 68Ga-PSMA-11 PET/CT.

Please choose a person to relate this publication to

Bingsheng He

Bingsheng Ke

Haishi Huang

Zhida Huang

Ying Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Bingsheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and 68Ga-PSMA-11 PET/CT.

Please choose a person to relate this publication to

Bingsheng He

Bingsheng Ke

Haishi Huang

Zhida Huang

Ying 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
Harvard
MSOffice XML

Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and 68Ga-PSMA-11 PET/CT.