title: [A novel ROI extracting technique based on wavelet transform for the detection of micro-calcifications in mammograms].
abstract: In order to preprocess mammograms for diagnosing the early cases of breast cancer and improving the computational efficiency in the computer-aided detection of micro-calcifications in mammograms, we have advanced a novel processing technique for the extraction of micro-calcification region of interest (MROI). The proposed method is based on a three-step procedure: (1) the mammogram is divided into sub-images of the same size; (2) the wavelet multi-resolution method is conducted on the sub-images, and the parameters related to wavelet transform and threshold T are discussed according to rho; (3) the classification of sub-images is determined by T. It is tested with 20 mammograms and the results show that the method can achieve a true positive rate as high as 89.7% with a false positive rate as low as 2.1%.
authors.affiliation: Department of Biomedical Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Shunan
authors.initials: S
authors.lastname: Li
authors.forename: Baikun
authors.initials: B
authors.lastname: Wan
authors.forename: Zhenhe
authors.initials: Z
authors.lastname: Ma
authors.forename: Ruiping
authors.initials: R
authors.lastname: Wang
mesh_terms: D001941:Breast Diseases / Q000000981:diagnostic imaging* / Q000473:pathology; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D002114:Calcinosis / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008327:Mammography