An Optimized Breast Cancer Diagnosis System Using a Cuckoo Search Algorithm and Support Vector Machine Classifier

Author:

Prabukumar Manoharan1,Agilandeeswari Loganathan1,Sangaiah Arun Kumar2

Affiliation:

1. School of Information Technology & Engineering; VIT University; Vellore Tamil Nadu India

2. School of Computing Science & Engineering; VIT University; Vellore Tamil Nadu India

Publisher

John Wiley & Sons, Ltd

Reference33 articles.

1. World Health Organization Cancer http://www.who.int/mediacentre/factsheets/fs297/en

2. A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation;Eltoukhy;Computers in Biology and Medicine,2012

3. Cadx of mammographic masses and clustered microcalcifications: a review;Elter;Medical Physics,2009

4. Anniversary paper: History and status of CAD and quantitative image analysis: the role of medical physics and aapm;Giger;Medical Physics,2008

5. Segmentation of regions of interest in mammograms in a topographic approach;Hong;IEEE Transactions on Information Technology in Biomedicine,2010

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