Convolutional Neural Network Algorithm for Lung Cancer Identification from X-Ray Images
2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN)(2023)
摘要
There are many distinct ailments that have caused different difficulties to the society. Out of those diseases, cancer has shown the foremost devastating results. Researchers have proposed that cancer may be identified in its early stages and may be prevented by conducting research and looking into the disease's pattern of growth. In this research, a hybrid method of detection, extracting further to classify the various lung cancers using deep learning technique has been proposed. First, datasets of various carcinomas are acquired, and then the dataset images are labelled using feature extraction. Deep learning, a latest branch of AI which can facilitate to boost the performance of Convolutional Neural Network-based systems has been employed.
更多查看译文
关键词
Histopathological image,Lung cancer,Image identification,Deep Neural Networks,Computed Tomography,medical imaging
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要