Pulmonary Nodule Risk Classification in Adenocarcinoma from CT Images Using Deep CNN with Scale Transfer Module

IET Image Processing(2020)

引用 17|浏览40
暂无评分
摘要
Pulmonary nodules risk classification in adenocarcinoma is essential for early detection of lung cancer and clinical treatment decision. Improving the level of early diagnosis and the identification of small lung adenocarcinoma has been always an important topic for imaging studies. In this study, the authors propose a deep convolutional neural network (CNN) with scale-transfer module (STM) and in...
更多
查看译文
关键词
biological organs,cancer,computerised tomography,feature extraction,image classification,learning (artificial intelligence),lung,medical image processing,neural nets,patient diagnosis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要