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Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed.

Food science. --- Biomedical engineering. --- Medical informatics. --- Artificial intelligence. --- Application software. --- Food Science. --- Food Engineering. --- Medical and Health Technologies. --- Health Informatics. --- Artificial Intelligence. --- Computer and Information Systems Applications. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Food technology --- Chemical engineering --- Data processing --- Food habits. --- Nutrition --- Technological innovations. --- Alimentation --- Food --- Health --- Physiology --- Diet --- Dietetics --- Digestion --- Food habits --- Malnutrition --- Eating --- Food customs --- Foodways --- Human beings --- Habit --- Manners and customs --- Oral habits --- Health aspects