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| 基于图像特征的智能肺癌识别 | |
| 引用本文： | 杨育彬,李宁,陈世福,陈兆乾. 基于图像特征的智能肺癌识别[J]. 南京大学学报(自然科学版), 2003, 39(2): 211-218 |
| 作者姓名： | 杨育彬 李宁 陈世福 陈兆乾 |
| 作者单位： | 南京大学软件新技术国家重点实验室，南京210093 |
| 基金项目： | FoundationItems :NationalNaturalScienceFoundation (396 70 714 )，National9thFive_yearPlanning (96 - 90 6 - 0 1- 18) |
| 摘 要： | 提出一种基于图像特征进行计算机辅助医学诊断的智能算法。该算法使用神经网络技术有效地从彩色细胞切片图像中识别出肺癌细胞。首先，通过图像预处理和图像分割技术提取出切片图像中细胞的形状和颜色特征。接着，将这些图像特征输入训练好的肺癌分类识别神经网络，智能地识别出肺癌细胞。 |
| 关 键 词： | 图像特征 肺癌 神经网络 模式识别 图像处理 计算机辅助医学诊断 特征提取 图像分割 智能识别 |
Intelligent Lung Cancer Identification Based on Image Features |
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| Abstract: | This paper presents an intelligent computer_aided medical diagnosis method based on image features which utilizes neural network to efficiently identify lung cancer cells in the chromatic slice images. The selected shape features and chromatic features are firstly computed and extracted by applying image pre_processing and segmentation steps. Then, taking these features as the input vector, a neural_network_based algorithm is adopted to identify the lung cancer cells intelligently. |
| Keywords: | neural network pattern recognition image processing computer-aided medical diagnosis image feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |