Improved Method for Nose Classification

摘要：

Our research work was focused in the medical field, specifically the Otorhinolaryngology (ENT) field in order to improve the diagnostic accuracy of doctors while examining radio images. Our goal was to automatically recognize whether a nose is healthy or fractured, so we developed an enhanced approach that considers many parameters (input images in different sections, complex data. ..). We will detail throughout this article the different stages of our work which led to fracture detection results that are accurate enough according to experts.

关键词： ENT Decision support Hausdorff dimension Classification of medical images

作者: Mehdi Louizi Mohamed Mohsen Gammoudi

作者单位: Computer Sciences Faculty of Sciences Tunis, Tunisia Associate Professor in Computer Sciences ESSAI Tunis, Tunisia

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 38-42

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）