Identification of Image Features for Skin Burn Depth Classification
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| 格式: | Thesis |
| 语言: | English |
| 出版: |
2018
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| 主题: | |
| 在线阅读: | http://ir.unimas.my/id/eprint/24891/3/Kuan.pdf |
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my-unimas-ir.24891 |
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| record_format |
uketd_dc |
| spelling |
my-unimas-ir.248912023-11-14T01:30:20Z Identification of Image Features for Skin Burn Depth Classification 2018 Kuan, Pei Nei QA75 Electronic computers. Computer science Universiti Malaysia Sarawak, (UNIMAS) 2018 Thesis http://ir.unimas.my/id/eprint/24891/ http://ir.unimas.my/id/eprint/24891/3/Kuan.pdf text en validuser masters Universiti Malaysia Sarawak Faculty of Computer Science and Information Technology |
| institution |
Universiti Malaysia Sarawak |
| collection |
UNIMAS Institutional Repository |
| language |
English |
| topic |
QA75 Electronic computers Computer science |
| spellingShingle |
QA75 Electronic computers Computer science Kuan, Pei Nei Identification of Image Features for Skin Burn Depth Classification |
| description |
|
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Kuan, Pei Nei |
| author_facet |
Kuan, Pei Nei |
| author_sort |
Kuan, Pei Nei |
| title |
Identification of Image Features for Skin Burn Depth Classification |
| title_short |
Identification of Image Features for Skin Burn Depth Classification |
| title_full |
Identification of Image Features for Skin Burn Depth Classification |
| title_fullStr |
Identification of Image Features for Skin Burn Depth Classification |
| title_full_unstemmed |
Identification of Image Features for Skin Burn Depth Classification |
| title_sort |
identification of image features for skin burn depth classification |
| granting_institution |
Universiti Malaysia Sarawak |
| granting_department |
Faculty of Computer Science and Information Technology |
| publishDate |
2018 |
| url |
http://ir.unimas.my/id/eprint/24891/3/Kuan.pdf |
| _version_ |
1783728281945636864 |