Pattern Recognition of Holographic Image Library Based on Deep Learning

Article Properties

Language

English
DOI (url)

10.1155/2022/2129168
Publication Date

2022/02/18
Journal

Journal of Healthcare Engineering
Indian UGC (journal)
Refrences

32
Citations

1
Bo Wu Faculty of Education, Northeast Normal University, Changchun 130021, ChinaHigh School Attached to Northeast Normal University, Changchun 130021, China ORCID
Changlong Zheng Faculty of Education, Northeast Normal University, Changchun 130021, China ORCID

Abstract

Cite

Wu, Bo, and Changlong Zheng. “Pattern Recognition of Holographic Image Library Based on Deep Learning”. Journal of Healthcare Engineering, vol. 2022, 2022, pp. 1-9, https://doi.org/10.1155/2022/2129168.

Wu, B., & Zheng, C. (2022). Pattern Recognition of Holographic Image Library Based on Deep Learning. Journal of Healthcare Engineering, 2022, 1-9. https://doi.org/10.1155/2022/2129168

Wu, Bo, and Changlong Zheng. “Pattern Recognition of Holographic Image Library Based on Deep Learning”. Journal of Healthcare Engineering 2022 (2022): 1-9. https://doi.org/10.1155/2022/2129168.

Wu B, Zheng C. Pattern Recognition of Holographic Image Library Based on Deep Learning. Journal of Healthcare Engineering. 2022;2022:1-9.

Journal Category

Medicine

Medicine (General)

Medical technology

Refrences

Title	Journal	Journal Categories	Citations	Publication Date
Image reconstruction of millimeter wave holographic imaging with deep learning network				2021
Construction of 3D layout planning model of indoor scene based on laser technology holographic image				2021
Image adaptive information hiding technology based on holographic principle				2021
Color image encryption method combining computational holography and chaos				2021
Off-axis digital holographic imaging technology based on deep learning				2021

Citations

Title	Journal	Journal Categories	Citations	Publication Date
In Silico Protein Structure Analysis for SARS-CoV-2 Vaccines Using Deep Learning	BioMedInformatics	Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry Medicine: Medicine (General): Computer applications to medicine. Medical informatics	1	2023

Citations Analysis

Category	Category Repetition
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry	1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics	1

The category Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled In Silico Protein Structure Analysis for SARS-CoV-2 Vaccines Using Deep Learning and was published in 2023. The most recent citation comes from a 2023 study titled In Silico Protein Structure Analysis for SARS-CoV-2 Vaccines Using Deep Learning. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the BioMedInformatics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.