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Automated Detection of Malarial Parasites Using Image Processing Techniques

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dc.contributor.author Mubashra Sami, 01-134121-053
dc.contributor.author Syed Murtaza Abbass, 01-134121-104
dc.date.accessioned 2017-05-23T06:46:52Z
dc.date.available 2017-05-23T06:46:52Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/123456789/952
dc.description Supervised by Dr. Samabia Tehsin en_US
dc.description.abstract Cell phones have turned out to be progressively effective and powerful in recent years. Dramatic breakthroughs in preparing force alongside the quantity of additional elements included in these gadgets have opened the ways to an extensive variety of business conceivable outcomes. Mostly cellphones includes cameras, processors equivalent to PCs from just a couple of years prior, and web access. Our project named as “Automated detection of malaria in blood through image processing” is basically an online android application which is mainly targeted for hospitals and their laboratories where usually this test is done through some other techniques. This android application will not only reduce the workload of technicians performing tests but also of patients who has to wait for the reports for a long period of time. As previously there is no android app that is running successfully in Pakistan so the design and interface of this app is totally developed by our own. The app is made in such a way that a technician or a patient who wants to detect malaria not only can perform the test but can also view the results. This app is time saving and this can be maintained only by developer if needed. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-5393
dc.subject Computer Sciences. en_US
dc.title Automated Detection of Malarial Parasites Using Image Processing Techniques en_US
dc.type Project Reports en_US


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