| 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 |