Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Majanga A"'
Autor:
Vincent Majanga, Ernest Mnkandla
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10394 (2024)
Segmentation of nuclei in histology images is key in analyzing and quantifying morphology changes of nuclei features and tissue structures. Conventional diagnosis, segmenting, and detection methods have relied heavily on the manual-visual inspection
Externí odkaz:
https://doaj.org/article/e688e25d3ba340c498b5a808c1d16cf8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ngeno, Emily, Ongulu, Roselyn, Orata, Francis, Matovu, Henry, Shikuku, Victor, Onchiri, Richard, Mayaka, Abel, Majanga, Eunice, Getenga, Zachary, Gichumbi, Joel, Ssebugere, Patrick
Publikováno v:
In Environmental Research 15 November 2023 237 Part 2
Autor:
Vincent Majanga, Serestina Viriri
Publikováno v:
The Scientific World Journal, Vol 2022 (2022)
Dental caries detection, in the past, has been a challenging task given the amount of information got from various radiographic images. Several methods have been introduced to improve the quality of images for faster caries detection. Deep learning h
Externí odkaz:
https://doaj.org/article/53c5dc0fefe54a96a75f55848d555207
Autor:
Majanga, Byson Beracah
Publikováno v:
Journal of Financial Reporting and Accounting, 2018, Vol. 16, Issue 1, pp. 108-119.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JFRA-10-2016-0080
Autor:
Vincent Majanga, Serestina Viriri
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 9232 (2021)
Dental Caries are one of the most prevalent chronic diseases around the globe. Detecting carious lesions is a challenging task. Conventional computer aided diagnosis and detection methods in the past have heavily relied on the visual inspection of te
Externí odkaz:
https://doaj.org/article/150edee3ecf24a4c9cc11befbf64cdf0
Autor:
Majanga, Vincent1 (AUTHOR), Viriri, Serestina1 (AUTHOR)
Publikováno v:
Computational Intelligence & Neuroscience. 12/14/2021, p1-9. 9p.
Publikováno v:
British Journal of Education. 10:67-78
Activity, Student-centred, Experiment and Improvisation (ASEI) through Plan, Do, See, improve (PDSI) is used in Strengthening Mathematics and Science Education (SMASE); most commended pedagogy for Mathematics. Butere Sub County has been performing di
Publikováno v:
Applied Ecology and Environmental Sciences. 9:1011-1017
Autor:
Vincent Majanga, Serestina Viriri
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Recent advances in medical imaging analysis, especially the use of deep learning, are helping to identify, detect, classify, and quantify patterns in radiographs. At the center of these advances is the ability to explore hierarchical feature represen