Computerized detection of breast masses in digitized mammograms

Computers in Biology and Medicine
C VarelaJuan J Vidal

Abstract

We propose a system to detect malignant masses on mammograms. We investigated the behavior of an iris filter at different scales. After iris filter was applied, suspicious regions were segmented by means of an adaptive threshold. Suspected regions were characterized with features based on the iris filter output and, gray level, texture, contour-related, and morphological features extracted from the image. A backpropagation neural network classifier was trained to reduce the number of false positives. The system was developed and evaluated with two completely independent data sets. Results for a test set of 66 malignant and 49 normal cases, evaluated with free-response receiver operating characteristic analysis, yielded a sensitivity of 88% and 94% at 1.02 false positives per image for lesion-based and case-based evaluation, respectively. Results suggest that the proposed method could help radiologists as a second reader in mammographic screening.

References

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Citations

Jun 20, 2008·Medical Physics·Jordi FreixenetReyer Zwiggelaar
Mar 22, 2015·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Imad ZyoutMarcin Grzegorzek
Feb 1, 2011·Computers in Biology and Medicine·Soo Yeol LeeMin Hyoung Cho
Feb 26, 2010·Computers in Biology and Medicine·Fatemeh MoayediSerajodin Katebi
Oct 6, 2009·Computers in Biology and Medicine·Geraldo Braz JuniorAlexandre Cesar Muniz de Oliveira
Aug 8, 2009·Computers in Biology and Medicine·Jorge Juan Suárez-CuencaJuan José Vidal
Jun 16, 2009·Computers in Biology and Medicine·Alfonso Rojas-Domínguez, Asoke K Nandi
May 2, 2009·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·X LladóJ Martí
Dec 19, 2012·IEEE Reviews in Biomedical Engineering·Karthikeyan GanesanKwan-Hoong Ng
Nov 13, 2009·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Xinbo GaoDacheng Tao
Feb 1, 2013·International Journal of Biomedical Imaging·N GargouriR Abid
Jul 10, 2014·Journal of Digital Imaging·Shubhi Sharma, Pritee Khanna
Oct 23, 2017·Biomedizinische Technik. Biomedical Engineering·Ehsan Kozegar, Mohsen Soryani
Jul 18, 2014·Physics in Medicine and Biology·Maxine TanBin Zheng
Dec 14, 2017·Statistical Methods in Medical Research·María Xosé Rodríguez-ÁlvarezPablo G Tahoces

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