Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Buer Qi"'
Autor:
Xiaoguang Pan1 (AUTHOR), Buer Qi2 (AUTHOR), Hongfei Yu1 (AUTHOR), Haiping Wei1 (AUTHOR) weihp2002@163.com, Yan Kang2 (AUTHOR), Pan, Xiaoguang3 (AUTHOR), Qi, Buer4 (AUTHOR), Yu, Hongfei3 (AUTHOR), Wei, Haiping3 (AUTHOR), Kang, Yan4 (AUTHOR)
Publikováno v:
Technology & Health Care. 2017 Supplement, Vol. 25, pS459-S467. 9p. 3 Diagrams, 3 Charts, 1 Graph.
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 25(S1)
BACKGROUND Mammography is currently the most effective technique for breast cancer. Lesions distribution can provide support for clinical diagnosis and epidemiological studies. OBJECTIVE We presented a new idea to help radiologists study breast lesio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::142cec285ab8194332501fa4f7054454
https://pubmed.ncbi.nlm.nih.gov/28582934
https://pubmed.ncbi.nlm.nih.gov/28582934
Publikováno v:
Journal of Medical Imaging and Health Informatics. 4:787-792
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea577ee1fe346a86d473e46a2a083f96
https://doi.org/10.1166/jmihi.2014.1321
https://doi.org/10.1166/jmihi.2014.1321
Publikováno v:
2012 IEEE International Conference on Information and Automation.
The segmentation of breast mass is an important step not only in quantitative diagnosis but also in Computer-Aided Diagnosis (CAD) for the mammography. The objective of this study is to develop a reliable, reproducible and automatic segmentation meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7877f1a0b888e88c0402906cf8c22648
https://doi.org/10.1109/icinfa.2012.6246811
https://doi.org/10.1109/icinfa.2012.6246811