Detection of Microplastic Ingestion in the Human Body Using Deep Learning Technique

This study investigates using Neural Networks with convolution(CNNs) MATLAB to detect microplastic contamination in human tissues. As microplastics threaten health and ecosystems, this study provides a CNN-based method for their precise identification and quantification in high-resolution tissue images. This approach includes image preprocessing and CNN optimization to detect microplastic characteristics accurately. The effectiveness of model is confirmed through key performance metrics. Results advance deep learning in environmental health and aid in understanding and preventing microplastic-related health risks.