Zobrazeno 1 - 10
of 16
pro vyhledávání: '"M. Anousouya Devi"'
Autor:
M. Anousouya Devi, R. Ezhilarasie, K. Suresh Joseph, Ketan Kotecha, Ajith Abraham, Subramaniyaswamy Vairavasundaram
Publikováno v:
IEEE Access, Vol 11, Pp 77636-77647 (2023)
The accurate and reliable derivation of the pap smear cell, which contains cytoplasm and nucleus regions, depends on the segmentation process employed in the cervical cancer detection mechanism. In this paper, an Improved Boykov’s Graph Cut-based C
Externí odkaz:
https://doaj.org/article/95ce4da946b249be80e7ac9c19c6f0e1
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 1, Pp 1352-1360 (2022)
Cervical cancer is the most serious category of cancer that has very low survival rate in the women’s community around the globe. This survival probability of women society affected by this cervical cancer can be potentially enhanced if it is detec
Externí odkaz:
https://doaj.org/article/db6c29d3efd44259b1b4f4e44748a49a
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 32:2819-2828
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04ee0399c5c836923525e8f8d0f8f950
https://doi.org/10.3233/jifs-169224
https://doi.org/10.3233/jifs-169224
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 1, Pp 1352-1360 (2022)
Cervical cancer is the most serious category of cancer that has very low survival rate in the women’s community around the globe. This survival probability of women society affected by this cervical cancer can be potentially enhanced if it is detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d88ba656e746208f3e856bf31e648e2
Publikováno v:
Procedia Computer Science. 89:465-472
Artificial neural network (ANN) plays an important role in many medical imaging applications. The detection of cervical cancer cells uses an ANN for classifying the normal and abnormal cells in the cervix region of the uterus. Cervical cancer detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e8368f639ee5d1fe1668cdc3a32d9cf
Kniha
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Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319479514
Cervical cancer is a deadly cancer which occurs in women’s of all age group without any pre-symptoms. This cancer can be detected at the earliest by the manual screening of Pap smear test and LCB test which suffers from high false positive rate and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d41e4bec5fce77b68722f8c5317af0fb
https://doi.org/10.1007/978-3-319-47952-1_47
https://doi.org/10.1007/978-3-319-47952-1_47
Publikováno v:
International Journal of Image Mining. 3:48
Recent techniques that are developed in computer-aided mammography (CAM) produce more accurate results in detection and diagnosis of microcalcifications in its earlier state that can lead to breast cancers among women. These techniques aim at the red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::107ce1321347f1e468542572caa3d721
https://doi.org/10.1504/ijim.2018.093032
https://doi.org/10.1504/ijim.2018.093032
Publikováno v:
2014 International Conference on Computer Communication and Informatics.
Brain computer interface is a direct technological interface between a brain and the computer. It is a fast growing emergent technology in which researches try to build a direct channel between a brain and a computer. In this paper we use a Hybrid BC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b13430781174e65011d07ee20c95120
https://doi.org/10.1109/iccci.2014.6921754
https://doi.org/10.1109/iccci.2014.6921754
Akademický článek
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