IEEE - Institute of Electrical and Electronics Engineers, Inc. - Identification of Giemsa Staind of Malaria Using K-Means Clustering Segmentation Technique

2018 6th International Conference on Cyber and IT Service Management (CITSM)

Author(s): Edy Victor Haryanto S. ; M.Y. Mashor ; A.S. Abdul Nasir ; Zeehaida Mohamed
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2018
Conference Location: Parapat, Indonesia, Indonesia
Conference Date: 7 August 2018
Page(s): 1 - 4
ISBN (Electronic): 978-1-5386-5434-7
ISBN (USB): 978-1-5386-5435-4
DOI: 10.1109/CITSM.2018.8674254
Regular:

Malaria is disease the most common in the world. The disease is caused by mosquito bites anywhere. The identification process will take some time to deliver maximum results. One of the techniques... View More

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