Mobile Application for Oral Disease Detection using Federated Learning

arXiv:2403.12044v1 Announce Type: cross
Abstract: The mouth, often regarded as a window to the internal state of the body, plays an important role in reflecting one's overall health. Poor oral hygiene has far-reaching consequences, contributing to severe conditions like heart disease, cancer, and diabetes, while inadequate care leads to discomfort, pain, and costly treatments. Federated Learning (FL) for object detection can be utilized for this use case due to the sensitivity of the oral image data of the patients. FL …

abstract application arxiv cancer consequences cs.cv cs.lg detection diabetes disease federated learning health heart disease leads mobile pain role state type