The Utilization of ResNet Model in White Blood Cell Classification
Chenxu Li, Zhihan Xiao, Haotian Wang, Shuyi Jin · 2023
Abstract—With the rapid development and innovation in the field of computer science, artificial intelligence and machine learning have become more and more common in the daily life. In medical field, these technologies are used to support image processing and classification, like helping with blood test. Neutral networks will be chosen as the method. In this paper, a classification system founded on ResNet model, which takes CNN as the main structure, is introduced. The system extracts important features of images and analyzes images through layers. A trained model will be built using a dataset and then it can classify other strange samples. The reliability and possible optimization of this classification system is also evaluated that the accuracy is almost eighty two percent, which means the model may be able to assist works of doctors, saving their time and efforts.