stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
-  Sharif, J. M., Miswan, M. F., Ngadi, M. A., Salam, M. S. H., & bin Abdul Jamil, M. M. (2012, February). Red blood cell segmentation using masking and watershed algorithm: A preliminary study. In 2012 International Conference on Biomedical Engineering (ICoBE) (pp. 258-262). IEEE.
-  Mohamed, M., & Far, B. (2012, October). An enhanced threshold based technique for white blood cells nuclei automatic segmentation. In 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom) (pp. 202-207). IEEE.
-  Markiewicz, T., Osowski, S., & Mariańska, B. (2007, April). White blood cell automatic counting system based on support vector machine. In International Conference on Adaptive and Natural Computing Algorithms (pp. 318-326). Springer, Berlin, Heidelberg.
-  Khodashenas, M., Ebrahimpour-komleh, H., & Nickfarjam, A. M. (2019, March). White Blood Cell Detection and Counting based on Genetic Algorithm. In 2019 Advances in Science and Engineering Technology International Conferences (ASET) (pp. 1-4). IEEE.
-  Çelebi, S., & Çöteli, M. B. (2018). Red and white blood cell classification using Artificial Neural Networks. AIMS Bioengineering, 5(3), 179..
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