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Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Explainable deep learning ensemble for food image analysis on edge devices.

Ghalib Ahmed Tahir¹, Chu Kiong Loo¹

¹Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, 50603, Selangor, Malaysia.

Computers in Biology and Medicine

|November 8, 2021

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This study introduces an efficient food recognition model using transfer learning and snapshot ensembles for accurate dietary intake assessment. A user-centered explainable AI framework enhances trust and transparency in health applications.

Failed At:

2026-06-19T13:39:14.651403+00:00

Keywords:

Data augmentation Deep learning Ensemble learning Explainable AI Food recognition Mobile application Neural network User-centred explainable AI

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