Neural Network Ensemble in Lung Cancer Cell Identification
肺癌分类识别中的神经网络集成技术研究

This paper describes a neural network ensemble method in lung cancer cell identification process. A neural network ensemble algorithm LCNE based on image feature extraction is proposed. Firstly, LCNE algorithm trains different neural network classifiers designed for shape and color features individually. Then, using neural network ensemble method, the final lung cancer cell identification results can be achieved. On the basis of LCNE algorithm, we implement a lung cancer cell identification system LCDS successfully.