Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval

详细信息    查看全文

• 作者：José Raniery Ferreira Jr.…
• 关键词：Lung cancer ; Pulmonary nodule ; Content ; based image retrieval ; Image feature extraction ; Image feature selection
• 刊名：International Journal of Computer Assisted Radiology and Surgery
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：12
• 期：3
• 页码：509-517
• 全文大小：
• 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
• 出版者：Springer International Publishing
• ISSN：1861-6429
• 卷排序：12

文摘

PurposeLung cancer is the leading cause of cancer-related deaths in the world. Its diagnosis is a challenge task to specialists due to several aspects on the classification of lung nodules. Therefore, it is important to integrate content-based image retrieval methods on the lung nodule classification process, since they are capable of retrieving similar cases from databases that were previously diagnosed. However, this mechanism depends on extracting relevant image features in order to obtain high efficiency. The goal of this paper is to perform the selection of 3D image features of margin sharpness and texture that can be relevant on the retrieval of similar cancerous and benign lung nodules.