Sperm Morphology Classification

Sperm Morphology Classification is a multi-class classification task in the field of computer vision, aimed at automatically identifying and categorizing the head shapes of sperm through image analysis technology. The goal of this task is to accurately distinguish between normal and abnormal sperm morphologies, including but not limited to head size, shape, and structural characteristics. Its application value lies in assisting reproductive medical research, improving the efficiency and accuracy of infertility diagnosis, and providing a scientific basis for clinical treatment.