基于人工神经网络的肺癌CT扫描检测

Loveneet Kaur, Manmohan Sharma, Rajan Dharwal, A. Bakshi
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引用次数: 7

摘要

肺癌是印度最常见的疾病之一。这种疾病背后的原因是人们没有意识到,疾病的症状只有在他们的后期才被认识到。本文研究了一种基于人工神经网络的肺癌检测技术。其次是图像增强技术,人工神经网络已被用于肺癌分期的分类。肺癌CT图像取自一家私立医院。准确度达到93.3%,与现有系统相比已经足够高效。在未来,蚁群优化可以与人工神经网络结合使用,以获得更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lung Cancer Detection Using CT Scan with Artificial Neural Netwok
Lung cancer is one of the most common disease in India. Reason behind this disease is unawareness among people and symptoms of disease are only recognized in their posterior stages. In this study, a lung cancer detection technique using Artificial Neural Networks has been investigated. Followed by image enhancement techniques, ANN has been used for classification of lung cancer stages. Lung cancer CT images have been taken from a private hospital. Accuracy of 93.3% has been achieved which is efficient enough as compared to existing systems. In Future, Ant colony optimization can be used with ANN for better results.
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