Deep learning-based facial image analysis in medical research: a systematic review protocol.

ABSTRACT:

Introduction

Deep learning techniques are gaining momentum in medical research. Evidence shows that deep learning has advantages over humans in image identification and classification, such as facial image analysis in detecting people's medical conditions. While positive findings are available, little is known about the state-of-the-art of deep learning-based facial image analysis in the medical context. For the consideration of patients' welfare and the development of the practice, a timely understanding of the challenges and opportunities faced by research on deep-learning-based facial image analysis is needed. To address this gap, we aim to conduct a systematic review to identify the characteristics and effects of deep learning-based facial image analysis in medical research. In

SUBMITTER: Su Z 

PROVIDER: S-EPMC8587597 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature