A Semi-supervised Classification Method of Parasites Using Contrastive Learning

Engineering & Materials Science

• Parasites 100%
• Support vector machines 37%
• Textures 36%
• Classifiers 32%
• Linear networks 30%
• Labeled data 27%
• Medical imaging 26%
• Supervised learning 24%
• Deep neural networks 22%
• Convolutional neural networks 21%
• Semantics 15%
• Testing 11%