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

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. Thes...

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Veröffentlicht in:	IEEE transactions on medical imaging 2002-02, Vol.21 (2), p.150-158
Hauptverfasser:	Shih-Chung B Lo, Huai Li, Yue Wang, Kinnard, L., Freedman, M.T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Biomedical imaging Breast cancer Breast Neoplasms - classification Breast Neoplasms - diagnostic imaging Convolution Databases, Factual Feedback Female Humans Image Interpretation, Computer-Assisted - methods Image Processing, Computer-Assisted - methods Information systems Kernel Mammography - methods Medical diagnostic imaging Medical sciences Models, Biological Models, Statistical Neoplasms Neural networks Neural Networks (Computer) Pattern Recognition, Automated Radiology Reproducibility of Results ROC Curve Sensitivity and Specificity Studies Subcontracting
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