A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
Author:
Affiliation:
1. Department of Radiology; University of Chicago; 5841 S Maryland Ave. Chicago IL 60637 USA
Funder
National Institutes of Health
Chicago Metcalf program
Publisher
Wiley
Subject
General Medicine
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.12453/fullpdf
Reference32 articles.
1. Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer;Giger;Annu Rev Biomed Eng,2013
2. A Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network;Zhang;Med Phys,1994
3. Artificial convolution neural network for medical image pattern recognition;Lo;Neural Netw,1995
4. Donahue J Jia Y Vinyals O DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition 2014
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