pyHIVE, a health-related image visualization and engineering system using Python-Reference-Cited by-同舟云学术

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pyHIVE, a health-related image visualization and engineering system using Python

Published:2018-11-26 Issue:1 Volume:19 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Zhang Ruochi,Zhao Ruixue,Zhao Xinyang,Wu Di,Zheng Weiwei,Feng Xin,Zhou Fengfeng^ORCID

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

Jilin Provincial Key Laboratory of Big Data Intelligent Computing

Education Department of Jilin Province

Jilin University

Bioknow MedAI Institute

High Performance Computing Center of Jilin University, China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-018-2477-7.pdf

Reference16 articles.

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2. Vlaisavljevich E, Owens G, Lundt J, Teofilovic D, Ives K, Duryea A, Bertolina J, Welling TH, Xu Z. Non-invasive liver ablation using histotripsy: preclinical safety study in an in vivo porcine model. Ultrasound Med Biol. 2017;43(6):1237–51.

3. Sharma S. Translational multimodality neuroimaging. Curr Drug Targets. 2017;18(9):1039-50.

4. Yang D, Subramanian G, Duan J, Gao S, Bai L, Chandramohanadas R, Ai Y. A portable image-based cytometer for rapid malaria detection and quantification. PLoS One. 2017;12(6):e0179161.

5. Ding Y, Pardon MC, Agostini A, Faas H, Duan J, Ward WOC, Easton F, Auer D, Bai L. Novel methods for microglia segmentation, feature extraction, and classification. IEEE/ACM transactions on computational biology and bioinformatics. 2017;14(6):1366–77.

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