Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Soumaya Trabelsi Ben Ameur"'
Publikováno v:
Big Data and Cognitive Computing, Vol 3, Iss 3, p 41 (2019)
In this work, we build a computer aided diagnosis (CAD) system of breast cancer for high risk patients considering the breast imaging reporting and data system (BIRADS), mapping main expert concepts and rules. Therefore, a bag of words is built based
Externí odkaz:
https://doaj.org/article/8b7721e050ed4d47800ff529a81ee39e
Publikováno v:
ICMV
In this paper, we focus on analysis and diagnosis of breast masses inspired by expert concepts and rules. Accordingly, a Bag of Words is built based on the ontology of breast cancer diagnosis, accurately described in the Breast Imaging Reporting and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4102a0193addc6138f575c6a467ebadb
https://doi.org/10.1117/12.2309647
https://doi.org/10.1117/12.2309647
Publikováno v:
ICPRAM
ICPRAM, Feb 2016, Rome, Italy. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, pp.351-358, 2016, 〈10.5220/0005754703510358〉
ICPRAM, Feb 2016, Rome, Italy. pp.351-358, ⟨10.5220/0005754703510358⟩
ICPRAM, Feb 2016, Rome, Italy. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, pp.351-358, 2016, 〈10.5220/0005754703510358〉
ICPRAM, Feb 2016, Rome, Italy. pp.351-358, ⟨10.5220/0005754703510358⟩
International audience; This paper focuses on breast cancer of the mammary gland. Both basic segmentation steps and usual features are recalled. Then textural and morphological information are combined to improve the overall performance of breast MRI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cffb66545d7a8055e52cc2e8f4a626d
https://hal.archives-ouvertes.fr/hal-01391970/document
https://hal.archives-ouvertes.fr/hal-01391970/document
