caa a22 4500 605447632 CHVBK 20210128100133.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11042-013-1799-8 doi (NATIONALLICENCE)springer-10.1007/s11042-013-1799-8 Fourier irregularity index: A new approach to measure tumor mass irregularity in breast mammogram images [Elektronische Daten] [Gensheng Zhang, Wei Wang, Sung Shin, Carrie Hruska, Seong-Ho Son] Shape descriptors have been identified as important features in distinguishing malignant masses from benign masses. Thus, an effective morphological irregularity measure could provide a helpful reference to indicate the likelihood of malignancy of breast masses. In this paper, a new Fourier-Transform-based measure of irregularity—Fourier Irregularity Index (F 2 ), is proposed to provide reliable malignant/benign tumor/mass classification. The proposed measure has been evaluated on 418 breast masses, including 190 malignant masses and 218 benign lesions identified by radiologists on film mammograms. The results show the proposed measure has better performance than other approaches, such as Compactness Index (CI), Fractal Dimension (FD) and the Fourier-descriptor-based shape Factor (FF). Furthermore, these mentioned measures are paired to investigate the possibility of performance improvement. The results showed the combination of F 2 and CI further enhances the performance in indicating the likelihood of malignancy of breast masses. Springer Science+Business Media New York, 2013 Breast masses classification nationallicence Contour analysis nationallicence Fourier Transform nationallicence Irregularity index nationallicence Zhang Gensheng Department of Computer Science and Engineering, University of Texas at Arlington, 76019, Arlington, TX, USA aut Wang Wei Department of Electrical Engineering and Computer Science, South Dakota State University, 57007, Brookings, SD, USA aut Shin Sung Department of Electrical Engineering and Computer Science, South Dakota State University, 57007, Brookings, SD, USA aut Hruska Carrie Department of Radiology, Mayo Clinic, 200 1st St SW, 55905, Rochester, MN, USA aut Son Seong-Ho Radio Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), 305-700, Daejeon, Korea aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/11(2015-06-01), 3783-3798 1380-7501 74:11<3783 2015 74 11042 https://doi.org/10.1007/s11042-013-1799-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-013-1799-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Gensheng Department of Computer Science and Engineering, University of Texas at Arlington, 76019, Arlington, TX, USA aut NATIONALLICENCE 700 1- Wang Wei Department of Electrical Engineering and Computer Science, South Dakota State University, 57007, Brookings, SD, USA aut NATIONALLICENCE 700 1- Shin Sung Department of Electrical Engineering and Computer Science, South Dakota State University, 57007, Brookings, SD, USA aut NATIONALLICENCE 700 1- Hruska Carrie Department of Radiology, Mayo Clinic, 200 1st St SW, 55905, Rochester, MN, USA aut NATIONALLICENCE 700 1- Son Seong-Ho Radio Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), 305-700, Daejeon, Korea aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/11(2015-06-01), 3783-3798 1380-7501 74:11<3783 2015 74 11042