Enhanced Se-Resnet 101 For Food Image Segmentation

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
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id my-usm-ep.60121
record_format uketd_dc
spelling my-usm-ep.601212024-03-12T00:47:51Z Enhanced Se-Resnet 101 For Food Image Segmentation 2022-12 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 http://eprints.usm.my/60121/ http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer ( School of Computer Sciences)
institution Universiti Sains Malaysia
collection USM Institutional Repository
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
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
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
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Komputer ( School of Computer Sciences)
publishDate 2022
url http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf
_version_ 1794024092309913600

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