title: [Brain CT texture classification with tree-structured wavelet transform].
abstract: This paper proposes a tree-structured wavelet algorithm for brain CT texture feature extraction. This algorithm is used to analyse subimages automatically and to choose the optimum subimage for feature extraction. Experimental results show that this algorithm can improve the performance of brain CT texture feature extraction.
authors.affiliation: EEIS, University of Science and Technology of China, Hefei, Anhui, 230027.
authors.forename: Di
authors.initials: D
authors.lastname: Chen
authors.forename: Ping
authors.initials: P
authors.lastname: Zhou
authors.forename: Chuan-fu
authors.initials: CF
authors.lastname: Li
authors.forename: Kang-yuan
authors.initials: KY
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D014057:Tomography, X-Ray Computed / Q000379:methods*