Supervised capsule networks are theoretically advantageous over convolutional neural networks, because they aim to model a range of transformations of local...
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, ACM, 29 octobre 2023
Accurate dietary intake estimation is critical for informing policies and programs to support healthy eating, as malnutrition has been directly linked to...
Electrical Engineering and Systems Science, Cornell University, 2022
Chest radiography is an effective screening tool for diagnosing pulmonary diseases. In computer-aided diagnosis, extracting the relevant region of interest,...
Proceedings of the 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), IEEE, 12 juillet 2021
Remote monitoring and measurement are valuable tools for medical applications and they are particularly important in the context of pandemic outbreaks, like...
2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), IEEE, 12 juillet 2021
In light of the current COVID-19 pandemic response, researchers around the world have been evaluating ways to support all aspects of disease identification,...
2017 14th Conference on Computer and Robot Vision (CRV), IEEE, 8 février 2018
Anatomical landmarks on 3-D human body scans play key roles in shape-essential applications, including consistent parameterization, body measurement...
2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), IEEE, 15 août 2019
Pilot workload monitoring plays an important role in aviation safety. Heart rate, heart rate variability, and respiration rate have been shown to correlate...
Besides vaccination, as an effective way to mitigate the further spread of COVID-19, fast and accurate screening of individuals to test for the disease is yet...
Food image segmentation is an important task that has ubiquitous applications, such as estimating the nutritional value of a plate of food. Although machine...
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