Enhanced Se-Resnet 101 For Food Image Segmentation

Abuowaida, Suhaila Farhan Ahmad (2022) Enhanced Se-Resnet 101 For Food Image Segmentation. PhD thesis, Universiti Sains Malaysia.

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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.

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User: Mr Aizat Asmawi Abdul Rahim
Date Deposited: 12 Mar 2024 00:47
Last Modified: 12 Mar 2024 00:47
URI: http://eprints.usm.my/id/eprint/60121

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