YoMacs: A high-precision and lightweight algorithm for mouse head-face segmentation.

Mice are the most common and easily manipulated experimental model animals. The potential information embedded in their behaviors can reflect intrinsic physical and mental states. High-precision head-face segmentation helps track and analyze the behavioral patterns of mice.

Diagnosis of depression based on facial multimodal data.

Introduction: Depression is a serious mental health disease. Traditional scale-based depression diagnosis methods often have problems of strong subjectivity and high misdiagnosis rate, so it is particularly important to develop automatic diagnostic tools based on objective indicators.

Methods: This study proposes a deep learning method that fuses multimodal data to automatically diagnose depression using facial video and audio data.