Klasifikasi Citra Hasil Ct Scan Dengan Jaringan Syaraf Tiruan
| Main Author: | Supardi, Julian; Universitas Sriwijaya |
|---|---|
| Format: | Article info application/pdf |
| Bahasa: | eng |
| Terbitan: |
Universitas Sriwijaya
, 2013
|
| Online Access: |
http://journal.ilkom.unsri.ac.id/index.php/JRCSA/article/view/21 http://journal.ilkom.unsri.ac.id/index.php/JRCSA/article/view/21/15 |
| ctrlnum |
article-21 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Klasifikasi Citra Hasil Ct Scan Dengan Jaringan Syaraf Tiruan</title><creator>Supardi, Julian; Universitas Sriwijaya</creator><description lang="en-US">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.</description><publisher lang="en-US">Universitas Sriwijaya</publisher><contributor lang="en-US"/><date>2013-01-10</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>http://journal.ilkom.unsri.ac.id/index.php/JRCSA/article/view/21</identifier><source lang="en-US">Journal Research Computer Science & Application; Vol 2, No 1 (2013)</source><source>2301-8488</source><language>eng</language><relation>http://journal.ilkom.unsri.ac.id/index.php/JRCSA/article/view/21/15</relation><rights lang="en-US">Copyright (c) 2016 Journal Research Computer Science & Application</rights><recordID>article-21</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File |
| author |
Supardi, Julian; Universitas Sriwijaya |
| title |
Klasifikasi Citra Hasil Ct Scan Dengan Jaringan Syaraf Tiruan |
| publisher |
Universitas Sriwijaya |
| publishDate |
2013 |
| url |
http://journal.ilkom.unsri.ac.id/index.php/JRCSA/article/view/21 http://journal.ilkom.unsri.ac.id/index.php/JRCSA/article/view/21/15 |
| contents |
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. |
| id |
IOS3679.article-21 |
| institution |
Universitas Sriwijaya |
| institution_id |
177 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Sriwijaya |
| library_id |
596 |
| collection |
Journal Research Computer Science & Application |
| repository_id |
3679 |
| subject_area |
Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika Sistem Informasi Teknologi Informasi |
| city |
KOTA PALEMBANG |
| province |
SUMATERA SELATAN |
| repoId |
IOS3679 |
| first_indexed |
2016-11-20T22:52:09Z |
| last_indexed |
2018-04-20T01:08:14Z |
| recordtype |
dc |
| _version_ |
1686003778620227584 |
| score |
17.609673 |