Title :
Research and application of CT image mining based on rough sets theory and association rules
Author :
Xu Dong ; Li Fuyun
Author_Institution :
Inf. Inst. of Sci. & Technol., Hainan normal Univ., Haikou, China
Abstract :
The function of medical image mining in computer-aided diagnoses is discussed. Aiming at the hospital of valuable CT images, combining medical peculiar domain knowledge, a kind of association rules based on rough sets and combination of mining method is proposed, this method can help doctors early diagnose malignant diseases and has a great significance.
Keywords :
computerised tomography; data mining; diseases; medical image processing; patient diagnosis; rough set theory; CT image mining; association rule; computer-aided diagnosis; malignant disease diagnosis; medical image mining; medical peculiar domain knowledge; rough set theory; Biomedical imaging; Computed tomography; Image edge detection; Lesions; Liver; Association rules; CT image; Image mining; Rough set;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563888
