Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Dereje Yohannes"'
Publikováno v:
SAGE Open Medicine, Vol 10 (2022)
Objectives: Every pregnancy can face risk. One of the World Health Organization recommendations for health promotion interventions for maternal and newborn health was to increase birth preparedness and complication readiness. The main objective of th
Externí odkaz:
https://doaj.org/article/caa62438620048ca86c380c3cb5da68e
Publikováno v:
Computational Visual Media, Vol 5, Iss 4, Pp 347-361 (2019)
Abstract Segmentation is the act of partitioning an image into different regions by creating boundaries between regions. k-means image segmentation is the simplest prevalent approach. However, the segmentation quality is contingent on the initial par
Externí odkaz:
https://doaj.org/article/1973c6e0bd4d4ed89894988fb70bd6eb
Publikováno v:
BMC Nutrition, Vol 3, Iss 1, Pp 1-8 (2017)
Abstract Background Inappropriate complementary feeding is a major contributor of child malnutrition. Previous studies have described complementary feeding practice using a single indicator but combinations of indicators were needed to better explain
Externí odkaz:
https://doaj.org/article/74f4424f5eea4ac5a5fdcad10cef48a6
Publikováno v:
Journal of Nutrition and Metabolism, Vol 2020 (2020)
This study aimed to determine the prevalence of malnutrition and its association with wound healing and length of hospitalization among patients undergoing abdominal surgery admitted to hospitals in the Wolaita zone in southern Ethiopia. Methods. An
Externí odkaz:
https://doaj.org/article/06d55347556047bc9e94ddd02b892453
Publikováno v:
Journal of Nutrition and Metabolism, Vol 2018 (2018)
Background. This study aimed to assess the prevalence of malnutrition and associated factors among school adolescents in Wolaita Sodo town, Southern Ethiopia. Methods. A school-based cross-sectional study was conducted from May 18–June 10, 2015. A
Externí odkaz:
https://doaj.org/article/72a943b1643a4ae8874f4ecb6de96211
Publikováno v:
Journal of Biomimetics, Biomaterials and Biomedical Engineering. 47:41-61
Breast cancer occurs as a result of erratic growth and proliferation cells that originate in the breast. In this paper, the classifiers were used to identify the abnormalities on mammograms to get the region of interest (ROI). Before classifier based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9678f66412f66c2d5ddd34e66b8508c4
https://doi.org/10.4028/www.scientific.net/jbbbe.47.41
https://doi.org/10.4028/www.scientific.net/jbbbe.47.41
Publikováno v:
Journal of Nutrition and Metabolism, Vol 2020 (2020)
Journal of Nutrition and Metabolism
Journal of Nutrition and Metabolism
This study aimed to determine the prevalence of malnutrition and its association with wound healing and length of hospitalization among patients undergoing abdominal surgery admitted to hospitals in the Wolaita zone in southern Ethiopia. Methods. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de164a85c973dce6e0e8ebcf5bd10346
https://doi.org/10.1155/2020/2324395
https://doi.org/10.1155/2020/2324395
Publikováno v:
Evolving Systems. 12:519-526
The pectoral muscle is the high-intensity region in most mediolateral oblique (MLO) views of mammograms. Since it appears at the same intensity as most abnormalities it should be removed for successful classification. Removal of pectoral muscle is of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae5b4d9b7dfd97f5b3fbf712de48222b
https://doi.org/10.1007/s12530-019-09310-8
https://doi.org/10.1007/s12530-019-09310-8
Publikováno v:
Evolving Systems. 11:143-163
Computer-aided image analysis for better understanding of images has been time-honored approaches in the medical computing field. In the conventional machine learning approach, the domain experts in medical images are mandatory for image annotation t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dfdf41a422a884ac772b78f9f16fe33
https://doi.org/10.1007/s12530-019-09297-2
https://doi.org/10.1007/s12530-019-09297-2
Publikováno v:
Computational Visual Media, Vol 5, Iss 4, Pp 347-361 (2019)
Segmentation is the act of partitioning an image into different regions by creating boundaries between regions. k-means image segmentation is the simplest prevalent approach. However, the segmentation quality is contingent on the initial parameters (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36b43d006c01f00fd7b4d5bc1817a60c
https://doi.org/10.1007/s41095-019-0151-2
https://doi.org/10.1007/s41095-019-0151-2