Enhanced Se-Resnet 101 For Food Image Segmentation
In recent years, deep learning has demonstrated its usefulness and capability in computer vision due to its high accuracy and acceptability. This thesis focuses on the enhanced instance segmentation method for multiple types of food and the improved food volume estimation method for better food calo...
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| Format: | Thesis |
| Language: | en |
| Published: |
2022
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| Online Access: | http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf http://eprints.usm.my/60121/ |
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| _version_ | 1834507270318194688 |
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| author | Abuowaida, Suhaila Farhan Ahmad |
| author_facet | Abuowaida, Suhaila Farhan Ahmad |
| author_sort | Abuowaida, Suhaila Farhan Ahmad |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In recent years, deep learning has demonstrated its usefulness and capability in computer vision due to its high accuracy and acceptability. This thesis focuses on the enhanced instance segmentation method for multiple types of food and the improved food volume estimation method for better food calorie estimation. |
| format | Thesis |
| id | my.usm.eprints.60121 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2022 |
| record_format | eprints |
| spelling | my.usm.eprints.60121 http://eprints.usm.my/60121/ Enhanced Se-Resnet 101 For Food Image Segmentation Abuowaida, Suhaila Farhan Ahmad QA75.5-76.95 Electronic computers. Computer science In recent years, deep learning has demonstrated its usefulness and capability in computer vision due to its high accuracy and acceptability. This thesis focuses on the enhanced instance segmentation method for multiple types of food and the improved food volume estimation method for better food calorie estimation. 2022-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf Abuowaida, Suhaila Farhan Ahmad (2022) Enhanced Se-Resnet 101 For Food Image Segmentation. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Abuowaida, Suhaila Farhan Ahmad Enhanced Se-Resnet 101 For Food Image Segmentation |
| title | Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_full | Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_fullStr | Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_full_unstemmed | Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_short | Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_sort | enhanced se-resnet 101 for food image segmentation |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf http://eprints.usm.my/60121/ |
| url_provider | http://eprints.usm.my/ |