Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Annabella Habinka"'
Publikováno v:
Indonesian Journal of Innovation and Applied Sciences, Vol 3, Iss 2, Pp 99-110 (2023)
The review discusses students’ challenges as they move between educational levels and the labor market, mainly due to the lack of effective, efficient, and timely career guidance. The review suggests that using ontologies can improve career guidanc
Externí odkaz:
https://doaj.org/article/849438b1a7a143d3bf5cd84d1c677cbf
Autor:
Jeffrey I Campbell, Isaac Aturinda, Evans Mwesigwa, Annabella Habinka, Michael Kanyesigye, Richard J Holden, Mark J Siedner, John D Kraemer
Publikováno v:
JMIR Human Factors, Vol 10, p e42952 (2023)
BackgroundThe expansion of cellular phones in sub-Saharan Africa spurred the development of SMS text message–based mobile health (mHealth) technology. Numerous SMS text message–based interventions have attempted to increase retention in care for
Externí odkaz:
https://doaj.org/article/9d91d98bf48a442dbf59b4f023fbc8e4
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-22 (2019)
Abstract Background Cervical cancer is preventable if effective screening measures are in place. Pap-smear is the commonest technique used for early screening and diagnosis of cervical cancer. However, the manual analysis of the pap-smears is error p
Externí odkaz:
https://doaj.org/article/2a9f0d91824844418eb71d798cc61130
Publikováno v:
Informatics in Medicine Unlocked, Vol 14, Iss , Pp 23-33 (2019)
Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women. However, it can be successfully treated if detected at an early stage. The Pap smear is a good tool for initial screening of cervical cancer, but there is the possib
Externí odkaz:
https://doaj.org/article/c47b1a11346f49c4a5b2acc93d015b16
Publikováno v:
In Informatics in Medicine Unlocked 2019 14:23-33
Publikováno v:
In Computer Methods and Programs in Biomedicine October 2018 164:15-22
Publikováno v:
International Journal of Computer Applications. 174:6-15
Publikováno v:
International Journal of Computer Trends and Technology. 67:71-81
Background: Digital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology especially for cervical cancer screening from pap-smears. Manual assessment of pap-smears is labour intensive and prone to interob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::942dbc7845c19b0ef1ce4ae9a254b63b
https://doi.org/10.21203/rs.3.rs-955958/v1
https://doi.org/10.21203/rs.3.rs-955958/v1
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-22 (2019)
BioMedical Engineering
BioMedical Engineering
Background Cervical cancer is preventable if effective screening measures are in place. Pap-smear is the commonest technique used for early screening and diagnosis of cervical cancer. However, the manual analysis of the pap-smears is error prone due