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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Main Author:	Abuowaida, Suhaila Farhan Ahmad
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA75.5-76.95 Electronic computers. Computer science
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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Institution:	Universiti Sains Malaysia
Language:	English

id	my.usm.eprints.60121
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.
institution	Universiti Sains Malaysia
building	Hamzah Sendut Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Sains Malaysia
content_source	USM Institutional Repository
url_provider	http://eprints.usm.my/
language	English
topic	QA75.5-76.95 Electronic computers. Computer science
spellingShingle	QA75.5-76.95 Electronic computers. Computer science Abuowaida, Suhaila Farhan Ahmad Enhanced Se-Resnet 101 For Food Image Segmentation
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
author	Abuowaida, Suhaila Farhan Ahmad
author_facet	Abuowaida, Suhaila Farhan Ahmad
author_sort	Abuowaida, Suhaila Farhan Ahmad
title	Enhanced Se-Resnet 101 For Food Image Segmentation
title_short	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_sort	enhanced se-resnet 101 for food image segmentation
publishDate	2022
url	http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf http://eprints.usm.my/60121/
_version_	1794552246041575424

Enhanced Se-Resnet 101 For Food Image Segmentation

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