Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry-Reference-Cited by-同舟云学术

Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry

Published:2018-06-25 Issue:10 Volume:78 Page:13005-13031
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Braz Junior Geraldo^ORCID,da Rocha Simara V.,de Almeida João D. S.,de Paiva Anselmo C.,Silva Aristófanes C.,Gattass Marcelo

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-6259-z.pdf

Reference54 articles.

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4. Basheer NM, Mohammed MH (2013) Segmentation of breast masses in digital mammograms using adaptive median filtering and texture analysis. Int J Recent Technol Eng(IJRTE) 2(1):39–43

5. Bird R, Wallace T, Yankaskas B (1992) Analysis of cancers missed at screening mammography. Radiology 184(3):613–617

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