Supardi, Julian (2014) KLASIFIKASI CITRA HASIL CT SCAN DENGAN JARINGAN SYARAF TIRUAN. Journal of Research in Computer Science and Application. ISSN 2301-8488
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Abstract
Abstract Stroke is a brain functional disorder that occurs suddenly. Stroke examinations is usually using CT scan. The image produced by a CT scan comes from x-rays photography. Classification of CT scan results seems easy to do, but to get a better and accurate diagnosis should be based on anatomical slices represented on image. Its requires a large number of image stacks , so it becomes a tough job when observed manually for each image. This study aims to develop intelligent software that classify stroke based on images generated by CT Scan. The results obtained is software works properly, the test results of 20 images obtained an accuracy rate of 95%. Keyword Stroke, Ct Scan, klasifikasi citra, Jaringan Syaraf Tiruan
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA174.A385 Engineering design--Data processing. Manufacturing processes--Data processing. Computer integrated manufacturing systems. Manufacturing processes--Automation. CAD/CAM systems. |
| Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
| Depositing User: | Mr. Julian Supardi |
| Date Deposited: | 04 Oct 2019 03:11 |
| Last Modified: | 04 Oct 2019 03:11 |
| URI: | http://repository.unsri.ac.id/id/eprint/9365 |
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