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|Title:||Classification of CT brain images of head trauma||Authors:||Gong, T.
|Issue Date:||2007||Citation:||Gong, T.,Liu, R.,Tan, C.L.,Farzad, N.,Lee, C.K.,Pang, B.C.,Tian, Q.,Tang, S.,Zhang, Z. (2007). Classification of CT brain images of head trauma. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4774 LNBI : 401-408. ScholarBank@NUS Repository.||Abstract:||A method for automatic classification of computed tomography (CT) brain images of different head trauma types is presented in this paper. The method has three major steps: 1. The images are first segmented to find potential hemorrhage regions using ellipse fitting, background removal and wavelet decomposition technique; 2. For each region, features (such as area, major axis length, etc.) are extracted; 3. Each extracted feature is classified using machine learning algorithm; the images are then classified based on its component regions' classification. The automatic medical image classification will be useful in building a content-based medical image retrieval system. © Springer-Verlag Berlin Heidelberg 2007.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/40505||ISBN:||9783540752851||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
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