title: Computer-aided detection of breast cancer on mammograms: a swarm intelligence optimized wavelet neural network approach.
abstract: Breast cancer is the second leading cause of cancer death in women. Accurate early detection can effectively reduce the mortality rate caused by breast cancer. Masses and microcalcification clusters are an important early signs of breast cancer. However, it is often difficult to distinguish abnormalities from normal breast tissues because of their subtle appearance and ambiguous margins. Computer aided diagnosis (CAD) helps the radiologist in detecting the abnormalities in an efficient way. This paper investigates a new classification approach for detection of breast abnormalities in digital mammograms using Particle Swarm Optimized Wavelet Neural Network (PSOWNN). The proposed abnormality detection algorithm is based on extracting Laws Texture Energy Measures from the mammograms and classifying the suspicious regions by applying a pattern classifier. The method is applied to real clinical database of 216 mammograms collected from mammogram screening centers. The detection performance of the CAD system is analyzed using Receiver Operating Characteristic (ROC) curve. This curve indicates the trade-offs between sensitivity and specificity that is available from a diagnostic system, and thus describes the inherent discrimination capacity of the proposed system. The result shows that the area under the ROC curve of the proposed algorithm is 0.96853 with a sensitivity 94.167% of and specificity of 92.105%.
authors: Dept. of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu 629 180, India. Electronic address: deeps_3u4@yahoo.com.
authors: J
authors: J
authors: Dheeba
authors: BSNL Nagercoil, India. Electronic address: mailalbertsingh@yahoo.co.in.
authors: N
authors: N
authors: Albert Singh
authors: Department of Electronics and Communication Engineering, National Engineering College, Kovilpatti, India. Electronic address: tamilgopal2004@yahoo.co.in.
authors: S
authors: S
authors: Tamil Selvi
mesh_terms: D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D008327:Mammography; D016571:Neural Networks, Computer; D058067:Wavelet Analysis
keywords: Breast cancer; Computer aided diagnosis; Laws; Mammograms; Particle swarm optimization; Receiver operating characteristic