A multiple circular path convolution neural network system for detection of mammographic masses

IEEE Transactions on Medical Imaging
Shih-Chung B LoM T Freedman

Abstract

A multiple circular path convolution neural network (MCPCNN) architecture specifically designed for the analysis of tumor and tumor-like structures has been constructed. We first divided each suspected tumor area into sectors and computed the defined mass features for each sector independently. These sector features were used on the input layer and were coordinated by convolution kernels of different sizes that propagated signals to the second layer in the neural network system. The convolution kernels were trained, as required, by presenting the training cases to the neural network. In this study, randomly selected mammograms were processed by a dual morphological enhancement technique. Radiodense areas were isolated and were delineated using a region growing algorithm. The boundary of each region of interest was then divided into 36 sectors using 36 equi-angular dividers radiated from the center of the region. A total of 144 Breast Imaging-Reporting and Data System-based features (i.e., four features per sector for 36 sectors) were computed as input values for the evaluation of this newly invented neural network system. The overall performance was 0.78-0.80 for the areas (Az) under the receiver operating characteristic curves...Continue Reading

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Citations

Apr 7, 2012·International Journal of Biomedical Imaging·Kenji Suzuki
Feb 23, 2013·International Journal of Biomedical Imaging·Ayman El-BazBehnoush Abdollahi
Aug 8, 2007·IEEE Transactions on Medical Imaging·Nevine H EltonsyAdel S Elmaghraby
Oct 23, 2009·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Byung-Woo Hong, Bong-Soo Sohn
Nov 1, 2013·IEICE Transactions on Information and Systems·Kenji Suzuki
Nov 7, 2016·Medical Image Analysis·C SpampinatoR Leonardi
Feb 22, 2018·Computational and Mathematical Methods in Medicine·Abdullah-Al Nahid, Yinan Kong
Jan 6, 2006·Physics in Medicine and Biology·C VarelaN Karssemeijer
Jul 10, 2017·Radiological Physics and Technology·Kenji Suzuki
Jun 7, 2019·BMC Bioinformatics·Dina AbdelhafizSheida Nabavi

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