Mammographic images segmentation based on chaotic map clustering algorithm

Author:

Iacomi Marius,Cascio Donato,Fauci Francesco,Raso Giuseppe

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Reference40 articles.

1. Meyer-Bäse A: Pattern Recognition for Medical Imaging. 2003, San Diego, CA, USA: Elsevier Academic Press, 346-359.

2. American Cancer Society: Cancer Facts & Figures 2012. 2012, http://www.cancer.org/acs/groups/content/@epidemiologysurveilance/documents/document/acspc-031941.pdf,

3. Shi J, Sahiner B, Chan HP, Ge J, Hadjiiski L, Helvie MA, Nees A, Wu YT, Wei J, Zhou C, Zhang Y, Cui J: Characterization of mammographic masses based on level set segmentation with New image features and patient information. Med Phys. 2008, 35: 280-290. 10.1118/1.2820630.

4. Azavedo E, Zackrisson S, Mejàre I, Heibert Arnlind M: Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review. BMC Med Imaging. 2012, 12: art. no. 22

5. Ciatto S, Cascio D, Fauci F, Magro R, Raso G, Ienzi R, Martinelli F, Simone MV: Computer assisted diagnosis (CAD) in mammography. Comparison of diagnostic accuracy of a new algorithm (Cyclopus®, Medicad) with two commercial systems. Radiol Med. 2009, 114: 626-635. 10.1007/s11547-009-0396-4.

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