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. 2024 Nov 15;26:e51432. doi: 10.2196/51432

Figure 2.

Figure 2

Comparison of traditional dietary assessment processes and the image-assisted dietary assessment (IADA) substitution processes for the same tasks, including systems that integrate multistage architecture into a single model using deep learning. Systems referenced include DiaWear from Shroff et al [18], GoCARB from Anthimopoulos et al [23], FIVR from Puri et al [26], Im2Calories from Myers et al [27], Diabetes60 from Christ et al [28], Multitask CNN from Ege and Yanai [29], Fang et al [30], and technologies-assisted dietary assessment (TADA) from Zhu et al [24, 25,31]. 24HR: 24-hour dietary recall; CNN: convolutional neural network; EFR: estimated food record; GAN: generative adversarial network; ResNet50: residual network; SVM: support vector machine; VCG: visual geometry group; WFR: weighed food record.